library(ggplot2)
library(tidyverse)
library(car)
library(broom)
df <- read.csv("~/Desktop/Reproducible Projects/Data/Raw/2018-19_nba_team-statistics_1.csv")
df2 <- read.csv("~/Desktop/Reproducible Projects/Data/Raw/2018-19_nba_team-statistics_2.csv")
data_both <- left_join(df,df2, by = "Team")
str(data_both)
## 'data.frame': 30 obs. of 49 variables:
## $ Rk.x : int 1 2 3 4 5 6 7 8 9 10 ...
## $ Team : chr "Milwaukee Bucks" "Golden State Warriors" "Toronto Raptors" "Utah Jazz" ...
## $ Age : num 26.9 28.4 27.3 27.3 29.2 26.2 24.9 25.7 25.7 27 ...
## $ W : int 60 57 58 50 53 53 54 49 49 48 ...
## $ L : int 22 25 24 32 29 29 28 33 33 34 ...
## $ PW : int 61 56 56 54 53 51 51 52 50 50 ...
## $ PL : int 21 26 26 28 29 31 31 30 32 32 ...
## $ MOV : num 8.87 6.46 6.09 5.26 4.77 4.2 3.95 4.44 3.4 3.33 ...
## $ SOS : num -0.82 -0.04 -0.6 0.03 0.19 0.24 0.24 -0.54 0.15 -0.57 ...
## $ SRS : num 8.04 6.42 5.49 5.28 4.96 4.43 4.19 3.9 3.56 2.76 ...
## $ ORtg : num 114 116 113 111 116 ...
## $ DRtg : num 105 110 107 106 111 ...
## $ NRtg : num 8.6 6.4 6 5.2 4.8 4.2 4.1 4.4 3.3 3.4 ...
## $ Pace : num 103.3 100.9 100.2 100.3 97.9 ...
## $ FTr : num 0.255 0.227 0.247 0.295 0.279 0.258 0.232 0.215 0.266 0.242 ...
## $ X3PAr : num 0.419 0.384 0.379 0.394 0.519 0.339 0.348 0.381 0.347 0.292 ...
## $ TS. : num 0.583 0.596 0.579 0.572 0.581 0.568 0.558 0.567 0.545 0.561 ...
## $ eFG. : num 0.55 0.565 0.543 0.538 0.542 0.528 0.527 0.534 0.514 0.53 ...
## $ TOV. : num 12 12.6 12.4 13.4 12 12.1 11.9 11.5 11.7 12.4 ...
## $ ORB. : num 20.8 22.5 21.9 22.9 22.8 26.6 26.6 21.6 26 21.9 ...
## $ FT.FGA: num 0.197 0.182 0.198 0.217 0.221 0.21 0.175 0.173 0.19 0.182 ...
## $ DRB. : num 80.3 77.1 77.1 80.3 74.4 77.9 78 77 78.2 76.2 ...
## $ X : logi NA NA NA NA NA NA ...
## $ X.1 : logi NA NA NA NA NA NA ...
## $ X.2 : logi NA NA NA NA NA NA ...
## $ Rk.y : int 1 2 8 17 11 6 20 14 7 22 ...
## $ G : int 82 82 82 82 82 82 82 82 82 82 ...
## $ MP : int 19780 19805 19880 19755 19830 19855 19730 19780 19855 19705 ...
## $ FG : int 3555 3612 3460 3314 3218 3470 3439 3451 3497 3390 ...
## $ FGA : int 7471 7361 7305 7082 7163 7427 7384 7423 7706 7135 ...
## $ FG. : num 0.476 0.491 0.474 0.468 0.449 0.467 0.466 0.465 0.454 0.475 ...
## $ X3P : int 1105 1087 1015 993 1323 904 903 1032 932 779 ...
## $ X3PA : int 3134 2824 2771 2789 3721 2520 2571 2829 2677 2081 ...
## $ X3P. : num 0.353 0.385 0.366 0.356 0.356 0.359 0.351 0.365 0.348 0.374 ...
## $ X2P : int 2450 2525 2445 2321 1895 2566 2536 2419 2565 2611 ...
## $ X2PA : int 4337 4537 4534 4293 3442 4907 4813 4594 5029 5054 ...
## $ X2P. : num 0.565 0.557 0.539 0.541 0.551 0.523 0.527 0.527 0.51 0.517 ...
## $ FT : int 1471 1339 1449 1540 1582 1558 1294 1282 1461 1298 ...
## $ FTA : int 1904 1672 1803 2092 2001 1914 1714 1598 2049 1727 ...
## $ FT. : num 0.773 0.801 0.804 0.736 0.791 0.814 0.755 0.802 0.713 0.752 ...
## $ ORB : int 762 797 786 820 836 967 972 804 1031 762 ...
## $ DRB : int 3316 2990 2920 2981 2613 2968 2832 2849 2911 2766 ...
## $ TRB : int 4078 3787 3706 3801 3449 3935 3804 3653 3942 3528 ...
## $ AST : int 2136 2413 2085 2133 1741 1887 2245 2155 1917 2128 ...
## $ STL : int 615 625 680 663 700 546 634 706 766 713 ...
## $ BLK : int 486 525 437 483 405 413 363 435 425 404 ...
## $ TOV : int 1137 1169 1150 1240 1094 1135 1102 1052 1145 1122 ...
## $ PF : int 1608 1757 1724 1728 1803 1669 1644 1670 1839 1594 ...
## $ PTS : int 9686 9650 9384 9161 9341 9402 9075 9216 9387 8857 ...
head(data_both)
## Rk.x Team Age W L PW PL MOV SOS SRS ORtg DRtg NRtg
## 1 1 Milwaukee Bucks 26.9 60 22 61 21 8.87 -0.82 8.04 113.8 105.2 8.6
## 2 2 Golden State Warriors 28.4 57 25 56 26 6.46 -0.04 6.42 115.9 109.5 6.4
## 3 3 Toronto Raptors 27.3 58 24 56 26 6.09 -0.60 5.49 113.1 107.1 6.0
## 4 4 Utah Jazz 27.3 50 32 54 28 5.26 0.03 5.28 110.9 105.7 5.2
## 5 5 Houston Rockets 29.2 53 29 53 29 4.77 0.19 4.96 115.5 110.7 4.8
## 6 6 Portland Trail Blazers 26.2 53 29 51 31 4.20 0.24 4.43 114.7 110.5 4.2
## Pace FTr X3PAr TS. eFG. TOV. ORB. FT.FGA DRB. X X.1 X.2 Rk.y G MP
## 1 103.3 0.255 0.419 0.583 0.550 12.0 20.8 0.197 80.3 NA NA NA 1 82 19780
## 2 100.9 0.227 0.384 0.596 0.565 12.6 22.5 0.182 77.1 NA NA NA 2 82 19805
## 3 100.2 0.247 0.379 0.579 0.543 12.4 21.9 0.198 77.1 NA NA NA 8 82 19880
## 4 100.3 0.295 0.394 0.572 0.538 13.4 22.9 0.217 80.3 NA NA NA 17 82 19755
## 5 97.9 0.279 0.519 0.581 0.542 12.0 22.8 0.221 74.4 NA NA NA 11 82 19830
## 6 99.1 0.258 0.339 0.568 0.528 12.1 26.6 0.210 77.9 NA NA NA 6 82 19855
## FG FGA FG. X3P X3PA X3P. X2P X2PA X2P. FT FTA FT. ORB DRB TRB
## 1 3555 7471 0.476 1105 3134 0.353 2450 4337 0.565 1471 1904 0.773 762 3316 4078
## 2 3612 7361 0.491 1087 2824 0.385 2525 4537 0.557 1339 1672 0.801 797 2990 3787
## 3 3460 7305 0.474 1015 2771 0.366 2445 4534 0.539 1449 1803 0.804 786 2920 3706
## 4 3314 7082 0.468 993 2789 0.356 2321 4293 0.541 1540 2092 0.736 820 2981 3801
## 5 3218 7163 0.449 1323 3721 0.356 1895 3442 0.551 1582 2001 0.791 836 2613 3449
## 6 3470 7427 0.467 904 2520 0.359 2566 4907 0.523 1558 1914 0.814 967 2968 3935
## AST STL BLK TOV PF PTS
## 1 2136 615 486 1137 1608 9686
## 2 2413 625 525 1169 1757 9650
## 3 2085 680 437 1150 1724 9384
## 4 2133 663 483 1240 1728 9161
## 5 1741 700 405 1094 1803 9341
## 6 1887 546 413 1135 1669 9402
tail(data_both)
## Rk.x Team Age W L PW PL MOV SOS SRS ORtg DRtg NRtg
## 25 25 Washington Wizards 26.5 32 50 34 48 -2.90 -0.40 -3.30 111.1 113.9 -2.8
## 26 26 Atlanta Hawks 25.1 29 53 27 55 -6.02 -0.04 -6.06 108.1 113.9 -5.8
## 27 27 Chicago Bulls 24.0 22 60 21 61 -8.41 0.10 -8.32 104.8 113.2 -8.4
## 28 28 Phoenix Suns 24.0 19 63 19 63 -9.34 0.73 -8.61 105.9 115.1 -9.2
## 29 29 New York Knicks 23.4 17 65 19 63 -9.21 0.28 -8.93 104.5 113.7 -9.2
## 30 30 Cleveland Cavaliers 25.2 19 63 19 63 -9.61 0.22 -9.39 107.7 117.6 -9.9
## Pace FTr X3PAr TS. eFG. TOV. ORB. FT.FGA DRB. X X.1 X.2 Rk.y G MP
## 25 101.4 0.266 0.370 0.567 0.531 12.3 21.3 0.204 74.1 NA NA NA 10 82 19930
## 26 103.9 0.255 0.403 0.555 0.522 14.3 24.7 0.192 76.4 NA NA NA 12 82 19855
## 27 99.0 0.235 0.295 0.541 0.505 12.7 19.4 0.184 77.3 NA NA NA 27 82 19905
## 28 100.5 0.259 0.335 0.552 0.514 13.8 20.5 0.202 72.5 NA NA NA 23 82 19880
## 29 99.6 0.270 0.334 0.529 0.490 12.4 22.1 0.205 76.1 NA NA NA 28 82 19780
## 30 96.6 0.236 0.332 0.540 0.503 12.2 23.7 0.187 77.0 NA NA NA 29 82 19755
## FG FGA FG. X3P X3PA X3P. X2P X2PA X2P. FT FTA FT. ORB DRB
## 25 3456 7387 0.468 930 2731 0.341 2526 4656 0.543 1508 1963 0.768 794 2679
## 26 3392 7524 0.451 1067 3034 0.352 2325 4490 0.518 1443 1918 0.752 955 2825
## 27 3266 7205 0.453 745 2123 0.351 2521 5082 0.496 1328 1695 0.783 718 2799
## 28 3289 7164 0.459 790 2400 0.329 2499 4764 0.525 1447 1858 0.779 748 2563
## 29 3134 7241 0.433 823 2421 0.340 2311 4820 0.479 1484 1956 0.759 857 2811
## 30 3189 7184 0.444 847 2388 0.355 2342 4796 0.488 1342 1694 0.792 879 2619
## TRB AST STL BLK TOV PF PTS
## 25 3473 2154 683 379 1154 1701 9350
## 26 3780 2118 675 419 1397 1932 9294
## 27 3517 1796 603 351 1159 1663 8605
## 28 3311 1957 735 418 1279 1932 8815
## 29 3668 1646 557 422 1151 1713 8575
## 30 3498 1698 534 195 1106 1642 8567
## check duplicated values
duplicated(data_both)
## [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [13] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [25] FALSE FALSE FALSE FALSE FALSE FALSE
## Handling Missing values
complete(data_both)
## Rk.x Team Age W L PW PL MOV SOS SRS ORtg DRtg
## 1 1 Milwaukee Bucks 26.9 60 22 61 21 8.87 -0.82 8.04 113.8 105.2
## 2 2 Golden State Warriors 28.4 57 25 56 26 6.46 -0.04 6.42 115.9 109.5
## 3 3 Toronto Raptors 27.3 58 24 56 26 6.09 -0.60 5.49 113.1 107.1
## 4 4 Utah Jazz 27.3 50 32 54 28 5.26 0.03 5.28 110.9 105.7
## 5 5 Houston Rockets 29.2 53 29 53 29 4.77 0.19 4.96 115.5 110.7
## 6 6 Portland Trail Blazers 26.2 53 29 51 31 4.20 0.24 4.43 114.7 110.5
## 7 7 Denver Nuggets 24.9 54 28 51 31 3.95 0.24 4.19 113.0 108.9
## 8 8 Boston Celtics 25.7 49 33 52 30 4.44 -0.54 3.90 112.2 107.8
## 9 9 Oklahoma City Thunder 25.7 49 33 50 32 3.40 0.15 3.56 110.3 107.0
## 10 10 Indiana Pacers 27.0 48 34 50 32 3.33 -0.57 2.76 109.9 106.5
## 11 11 Philadelphia 76ers 26.4 51 31 48 34 2.70 -0.44 2.25 112.6 110.0
## 12 12 San Antonio Spurs 28.8 48 34 45 37 1.68 0.12 1.80 112.9 111.2
## 13 13 Los Angeles Clippers 27.2 48 34 43 39 0.85 0.23 1.09 112.4 111.5
## 14 14 Orlando Magic 25.7 42 40 43 39 0.71 -0.43 0.28 108.9 108.1
## 15 15 Brooklyn Nets 25.4 42 40 41 41 -0.07 -0.33 -0.40 109.6 109.7
## 16 16 Miami Heat 27.0 39 43 40 42 -0.23 -0.22 -0.45 107.3 107.6
## 17 17 Detroit Pistons 26.9 41 41 40 42 -0.24 -0.31 -0.56 109.0 109.2
## 18 18 Sacramento Kings 24.8 39 43 38 44 -1.12 0.31 -0.81 110.4 111.5
## 19 19 Dallas Mavericks 26.9 33 49 38 44 -1.28 0.42 -0.87 109.4 110.7
## 20 20 Minnesota Timberwolves 26.2 36 46 37 45 -1.50 0.48 -1.02 111.4 112.9
## 21 21 New Orleans Pelicans 25.7 33 49 38 44 -1.33 0.23 -1.10 111.4 112.6
## 22 22 Charlotte Hornets 26.6 39 43 38 44 -1.10 -0.22 -1.32 111.4 112.5
## 23 23 Los Angeles Lakers 26.2 37 45 37 45 -1.72 0.39 -1.33 107.8 109.5
## 24 24 Memphis Grizzlies 27.7 33 49 34 48 -2.60 0.51 -2.08 106.1 108.8
## 25 25 Washington Wizards 26.5 32 50 34 48 -2.90 -0.40 -3.30 111.1 113.9
## 26 26 Atlanta Hawks 25.1 29 53 27 55 -6.02 -0.04 -6.06 108.1 113.9
## 27 27 Chicago Bulls 24.0 22 60 21 61 -8.41 0.10 -8.32 104.8 113.2
## 28 28 Phoenix Suns 24.0 19 63 19 63 -9.34 0.73 -8.61 105.9 115.1
## 29 29 New York Knicks 23.4 17 65 19 63 -9.21 0.28 -8.93 104.5 113.7
## 30 30 Cleveland Cavaliers 25.2 19 63 19 63 -9.61 0.22 -9.39 107.7 117.6
## NRtg Pace FTr X3PAr TS. eFG. TOV. ORB. FT.FGA DRB. X X.1 X.2 Rk.y G
## 1 8.6 103.3 0.255 0.419 0.583 0.550 12.0 20.8 0.197 80.3 NA NA NA 1 82
## 2 6.4 100.9 0.227 0.384 0.596 0.565 12.6 22.5 0.182 77.1 NA NA NA 2 82
## 3 6.0 100.2 0.247 0.379 0.579 0.543 12.4 21.9 0.198 77.1 NA NA NA 8 82
## 4 5.2 100.3 0.295 0.394 0.572 0.538 13.4 22.9 0.217 80.3 NA NA NA 17 82
## 5 4.8 97.9 0.279 0.519 0.581 0.542 12.0 22.8 0.221 74.4 NA NA NA 11 82
## 6 4.2 99.1 0.258 0.339 0.568 0.528 12.1 26.6 0.210 77.9 NA NA NA 6 82
## 7 4.1 97.7 0.232 0.348 0.558 0.527 11.9 26.6 0.175 78.0 NA NA NA 20 82
## 8 4.4 99.6 0.215 0.381 0.567 0.534 11.5 21.6 0.173 77.0 NA NA NA 14 82
## 9 3.3 102.8 0.266 0.347 0.545 0.514 11.7 26.0 0.190 78.2 NA NA NA 7 82
## 10 3.4 98.1 0.242 0.292 0.561 0.530 12.4 21.9 0.182 76.2 NA NA NA 22 82
## 11 2.6 101.6 0.312 0.342 0.574 0.532 12.9 24.5 0.241 78.6 NA NA NA 4 82
## 12 1.7 98.3 0.237 0.286 0.572 0.534 11.0 21.0 0.194 79.4 NA NA NA 18 82
## 13 0.9 101.7 0.326 0.295 0.575 0.529 12.7 22.0 0.258 76.0 NA NA NA 5 82
## 14 0.8 98.1 0.216 0.360 0.550 0.518 11.9 22.0 0.168 79.7 NA NA NA 24 82
## 15 -0.1 100.8 0.284 0.403 0.556 0.520 13.0 23.8 0.211 76.4 NA NA NA 15 82
## 16 -0.3 98.2 0.247 0.368 0.542 0.515 13.1 24.8 0.172 77.6 NA NA NA 26 82
## 17 -0.2 97.4 0.262 0.394 0.544 0.509 12.3 24.8 0.195 78.7 NA NA NA 25 82
## 18 -1.1 103.1 0.244 0.321 0.554 0.524 11.5 23.1 0.177 75.5 NA NA NA 9 82
## 19 -1.3 99.0 0.291 0.422 0.555 0.519 12.7 22.7 0.216 77.5 NA NA NA 21 82
## 20 -1.5 100.2 0.267 0.315 0.552 0.511 11.4 24.6 0.210 74.9 NA NA NA 13 82
## 21 -1.2 103.3 0.254 0.324 0.563 0.529 12.6 24.1 0.193 76.8 NA NA NA 3 82
## 22 -1.1 98.7 0.257 0.378 0.554 0.514 10.9 21.7 0.205 77.1 NA NA NA 19 82
## 23 -1.7 103.2 0.257 0.342 0.554 0.527 13.4 22.2 0.180 76.4 NA NA NA 16 82
## 24 -2.7 96.6 0.272 0.342 0.548 0.508 12.9 20.0 0.210 77.6 NA NA NA 30 82
## 25 -2.8 101.4 0.266 0.370 0.567 0.531 12.3 21.3 0.204 74.1 NA NA NA 10 82
## 26 -5.8 103.9 0.255 0.403 0.555 0.522 14.3 24.7 0.192 76.4 NA NA NA 12 82
## 27 -8.4 99.0 0.235 0.295 0.541 0.505 12.7 19.4 0.184 77.3 NA NA NA 27 82
## 28 -9.2 100.5 0.259 0.335 0.552 0.514 13.8 20.5 0.202 72.5 NA NA NA 23 82
## 29 -9.2 99.6 0.270 0.334 0.529 0.490 12.4 22.1 0.205 76.1 NA NA NA 28 82
## 30 -9.9 96.6 0.236 0.332 0.540 0.503 12.2 23.7 0.187 77.0 NA NA NA 29 82
## MP FG FGA FG. X3P X3PA X3P. X2P X2PA X2P. FT FTA FT. ORB
## 1 19780 3555 7471 0.476 1105 3134 0.353 2450 4337 0.565 1471 1904 0.773 762
## 2 19805 3612 7361 0.491 1087 2824 0.385 2525 4537 0.557 1339 1672 0.801 797
## 3 19880 3460 7305 0.474 1015 2771 0.366 2445 4534 0.539 1449 1803 0.804 786
## 4 19755 3314 7082 0.468 993 2789 0.356 2321 4293 0.541 1540 2092 0.736 820
## 5 19830 3218 7163 0.449 1323 3721 0.356 1895 3442 0.551 1582 2001 0.791 836
## 6 19855 3470 7427 0.467 904 2520 0.359 2566 4907 0.523 1558 1914 0.814 967
## 7 19730 3439 7384 0.466 903 2571 0.351 2536 4813 0.527 1294 1714 0.755 972
## 8 19780 3451 7423 0.465 1032 2829 0.365 2419 4594 0.527 1282 1598 0.802 804
## 9 19855 3497 7706 0.454 932 2677 0.348 2565 5029 0.510 1461 2049 0.713 1031
## 10 19705 3390 7135 0.475 779 2081 0.374 2611 5054 0.517 1298 1727 0.752 762
## 11 19805 3407 7233 0.471 889 2474 0.359 2518 4759 0.529 1742 2258 0.771 892
## 12 19805 3468 7248 0.478 812 2071 0.392 2656 5177 0.513 1408 1720 0.819 757
## 13 19830 3384 7178 0.471 821 2118 0.388 2563 5060 0.507 1853 2340 0.792 796
## 14 19780 3316 7307 0.454 937 2633 0.356 2379 4674 0.509 1231 1575 0.782 822
## 15 19980 3301 7358 0.449 1047 2965 0.353 2254 4393 0.513 1555 2088 0.745 900
## 16 19730 3251 7218 0.450 928 2658 0.349 2323 4560 0.509 1238 1782 0.695 921
## 17 19855 3185 7238 0.440 993 2854 0.348 2192 4384 0.500 1415 1893 0.747 936
## 18 19730 3541 7637 0.464 927 2455 0.378 2614 5182 0.504 1354 1865 0.726 906
## 19 19780 3182 7122 0.447 1022 3002 0.340 2160 4120 0.524 1541 2076 0.742 832
## 20 19830 3413 7483 0.456 827 2357 0.351 2586 5126 0.504 1570 1995 0.787 923
## 21 19755 3581 7563 0.473 842 2449 0.344 2739 5114 0.536 1462 1921 0.761 909
## 22 19830 3297 7362 0.448 977 2783 0.351 2320 4579 0.507 1510 1895 0.797 814
## 23 19780 3491 7425 0.470 847 2541 0.333 2644 4884 0.541 1336 1910 0.699 835
## 24 19880 3113 6924 0.450 811 2368 0.342 2302 4556 0.505 1453 1882 0.772 723
## 25 19930 3456 7387 0.468 930 2731 0.341 2526 4656 0.543 1508 1963 0.768 794
## 26 19855 3392 7524 0.451 1067 3034 0.352 2325 4490 0.518 1443 1918 0.752 955
## 27 19905 3266 7205 0.453 745 2123 0.351 2521 5082 0.496 1328 1695 0.783 718
## 28 19880 3289 7164 0.459 790 2400 0.329 2499 4764 0.525 1447 1858 0.779 748
## 29 19780 3134 7241 0.433 823 2421 0.340 2311 4820 0.479 1484 1956 0.759 857
## 30 19755 3189 7184 0.444 847 2388 0.355 2342 4796 0.488 1342 1694 0.792 879
## DRB TRB AST STL BLK TOV PF PTS
## 1 3316 4078 2136 615 486 1137 1608 9686
## 2 2990 3787 2413 625 525 1169 1757 9650
## 3 2920 3706 2085 680 437 1150 1724 9384
## 4 2981 3801 2133 663 483 1240 1728 9161
## 5 2613 3449 1741 700 405 1094 1803 9341
## 6 2968 3935 1887 546 413 1135 1669 9402
## 7 2832 3804 2245 634 363 1102 1644 9075
## 8 2849 3653 2155 706 435 1052 1670 9216
## 9 2911 3942 1917 766 425 1145 1839 9387
## 10 2766 3528 2128 713 404 1122 1594 8857
## 11 3025 3917 2207 606 432 1223 1745 9445
## 12 2910 3667 2013 501 386 992 1487 9156
## 13 2936 3732 1970 561 385 1193 1913 9442
## 14 2902 3724 2095 543 445 1082 1526 8800
## 15 2919 3819 1954 539 339 1236 1763 9204
## 16 2879 3800 1991 627 448 1208 1712 8668
## 17 2752 3688 1845 569 331 1135 1811 8778
## 18 2819 3725 2083 679 363 1095 1751 9363
## 19 2884 3716 1918 533 351 1167 1650 8927
## 20 2750 3673 2018 683 411 1074 1664 9223
## 21 2969 3878 2216 610 441 1215 1732 9466
## 22 2778 3592 1905 591 405 1001 1550 9081
## 23 2985 3820 2096 618 440 1284 1701 9165
## 24 2703 3426 1963 684 448 1147 1801 8490
## 25 2679 3473 2154 683 379 1154 1701 9350
## 26 2825 3780 2118 675 419 1397 1932 9294
## 27 2799 3517 1796 603 351 1159 1663 8605
## 28 2563 3311 1957 735 418 1279 1932 8815
## 29 2811 3668 1646 557 422 1151 1713 8575
## 30 2619 3498 1698 534 195 1106 1642 8567
sum(is.na(data_both))
## [1] 90
which(is.na(data_both), arr.ind = TRUE)
## row col
## [1,] 1 23
## [2,] 2 23
## [3,] 3 23
## [4,] 4 23
## [5,] 5 23
## [6,] 6 23
## [7,] 7 23
## [8,] 8 23
## [9,] 9 23
## [10,] 10 23
## [11,] 11 23
## [12,] 12 23
## [13,] 13 23
## [14,] 14 23
## [15,] 15 23
## [16,] 16 23
## [17,] 17 23
## [18,] 18 23
## [19,] 19 23
## [20,] 20 23
## [21,] 21 23
## [22,] 22 23
## [23,] 23 23
## [24,] 24 23
## [25,] 25 23
## [26,] 26 23
## [27,] 27 23
## [28,] 28 23
## [29,] 29 23
## [30,] 30 23
## [31,] 1 24
## [32,] 2 24
## [33,] 3 24
## [34,] 4 24
## [35,] 5 24
## [36,] 6 24
## [37,] 7 24
## [38,] 8 24
## [39,] 9 24
## [40,] 10 24
## [41,] 11 24
## [42,] 12 24
## [43,] 13 24
## [44,] 14 24
## [45,] 15 24
## [46,] 16 24
## [47,] 17 24
## [48,] 18 24
## [49,] 19 24
## [50,] 20 24
## [51,] 21 24
## [52,] 22 24
## [53,] 23 24
## [54,] 24 24
## [55,] 25 24
## [56,] 26 24
## [57,] 27 24
## [58,] 28 24
## [59,] 29 24
## [60,] 30 24
## [61,] 1 25
## [62,] 2 25
## [63,] 3 25
## [64,] 4 25
## [65,] 5 25
## [66,] 6 25
## [67,] 7 25
## [68,] 8 25
## [69,] 9 25
## [70,] 10 25
## [71,] 11 25
## [72,] 12 25
## [73,] 13 25
## [74,] 14 25
## [75,] 15 25
## [76,] 16 25
## [77,] 17 25
## [78,] 18 25
## [79,] 19 25
## [80,] 20 25
## [81,] 21 25
## [82,] 22 25
## [83,] 23 25
## [84,] 24 25
## [85,] 25 25
## [86,] 26 25
## [87,] 27 25
## [88,] 28 25
## [89,] 29 25
## [90,] 30 25
naniar::vis_miss(data_both)
data_both[is.na(data_both)] = 0
sum(is.na(data_both))
## [1] 0
# calculating wining percentage(continuous variables)
data_both <- mutate(data_both, win_per = W/G * 100)
data_both$win_per <- round(data_both$win_per, 2)
## Relationship between offensive rating and win%
ggplot(data = data_both, aes(x = ORtg, y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = ORtg, y = win_per))
## [1] 0.8410927
## Relationship between defensive rating and win%
ggplot(data = data_both, aes(x = DRtg, y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = DRtg, y = win_per))
## [1] -0.7598063
## Relationship between Net rating and win%
ggplot(data = data_both, aes(x = NRtg, y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = NRtg, y = win_per))
## [1] 0.9800259
## Relationship between Pace and win%
ggplot(data = data_both, aes(x = Pace, y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = Pace, y = win_per))
## [1] 0.08896707
## Relationship between free throw attempt rate and win%
ggplot(data = data_both, aes(x = FTr, y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = FTr, y = win_per))
## [1] 0.02348235
## Relationship between 3-points attempt rate and win%
ggplot(data = data_both, aes(x = X3PAr, y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = X3PAr, y = win_per))
## [1] 0.2842707
## Relationship between true shooting% and win%
## Points/[2*(Field Goals Attempted + 0.44 * Free Throws Attempted)]
ggplot(data = data_both, aes(x = TS. , y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = TS. , y = win_per))
## [1] 0.7570871
## Relationship between effective field goal% and win%
## ((FGM + 0.5 * 3PM)) / FGA
ggplot(data = data_both, aes(x = eFG. , y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = eFG. , y = win_per))
## [1] 0.7818481
## Relationship between turnover% and win%
ggplot(data = data_both, aes(x = TOV. , y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = TOV. , y = win_per))
## [1] -0.3068452
## Relationship between offensive rebound% and win%
ggplot(data = data_both, aes(x = ORB. , y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = ORB. , y = win_per))
## [1] 0.2354179
##Relationship between free throws per field goal attempt and win%
ggplot(data = data_both, aes(x = FT.FGA , y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = FT.FGA , y = win_per))
## [1] 0.0861065
## Relationship between defensive rebound% and win%
ggplot(data = data_both, aes(x = DRB. , y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = DRB. , y = win_per))
## [1] 0.4483858
## Relationship between minutes played and win%
ggplot(data = data_both, aes(x = MP, y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = MP, y = win_per))
## [1] -0.144398
## Relationship between field goal and win%
ggplot(data = data_both, aes(x = FG, y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = FG, y = win_per))
## [1] 0.5259582
## Relationship between field goal attempt and win%
ggplot(data = data_both, aes(x = FGA, y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = FGA, y = win_per))
## [1] 0.1679701
## Relationship between field goal% and win%
data_both$FG. <- data_both$FG. * 100
ggplot(data = data_both, aes(x = FG., y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = FG., y = win_per))
## [1] 0.6108395
## Relationship between 3-points field goal and win%
ggplot(data = data_both, aes(x = X3P, y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = X3P, y = win_per))
## [1] 0.4838393
## Relationship between 3-points field goal attemp and win%
ggplot(data = data_both, aes(x = X3PA, y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = X3PA, y = win_per))
## [1] 0.312573
## Relationship between 3-points field goal% and win%
data_both$X3P. <- data_both$X3P. * 100
ggplot(data = data_both, aes(x = X3P., y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = X3P., y = win_per))
## [1] 0.5419247
## Relationship between 2-points field goal and win%
ggplot(data = data_both, aes(x = X2P, y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = X2P, y = win_per))
## [1] 0.06873326
## Relationship between 2-points field goal attempt and win%
ggplot(data = data_both, aes(x = X2PA, y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = X2PA, y = win_per))
## [1] -0.2181137
## Relationship between 2-points fiels goals% and win%
data_both$X2P. <- data_both$X2P. * 100
ggplot(data = data_both, aes(x = X2P., y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = X2P., y = win_per))
## [1] 0.6008858
## Relationship between free throw and win%
ggplot(data = data_both, aes(x = FT, y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = FT, y = win_per))
## [1] 0.1297826
## ## Relationship between free throw attempt and win%
ggplot(data = data_both, aes(x = FTA, y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = FTA, y = win_per))
## [1] 0.06231113
## ## Relationship between free throw% and win%
data_both$FT. <- data_both$FT. * 100
ggplot(data = data_both, aes(x = FT. , y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = FT. , y = win_per))
## [1] 0.1611426
##Relationship between offensive rebounds and win%
ggplot(data = data_both, aes(x = ORB, y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = ORB, y = win_per))
## [1] 0.07860252
## Relationship between defensive rebounds and win%
ggplot(data = data_both, aes(x = DRB, y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = DRB, y = win_per))
## [1] 0.5749105
## Relationship between total rebounds and win%
ggplot(data = data_both, aes(x = TRB, y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = TRB, y = win_per))
## [1] 0.52877
## Relationship between assist and win%
ggplot(data = data_both, aes(x = AST, y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = AST, y = win_per))
## [1] 0.5018845
## Relationship between steal and win%
ggplot(data = data_both, aes(x = STL, y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = STL, y = win_per))
## [1] 0.1020406
## Relationship between block and win%
ggplot(data = data_both, aes(x = BLK, y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = BLK, y = win_per))
## [1] 0.4448873
## Relationship between turnover and win%
ggplot(data = data_both, aes(x = TOV, y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = TOV, y = win_per))
## [1] -0.2470975
## Relationship between personal foul and win%
ggplot(data = data_both, aes(x = PF, y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = PF, y = win_per))
## [1] -0.1606102
## Relationship between points and win%
ggplot(data = data_both, aes(x = PTS, y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = PTS, y = win_per))
## [1] 0.6605931
## Relationship between age and win%
ggplot(data = data_both, aes(x = Age, y = win_per)) +
geom_point(colour = "black") +
geom_smooth(method = "lm")
## `geom_smooth()` using formula 'y ~ x'
with(data_both, cor(x = Age, y = win_per))
## [1] 0.6217657
##TS. + TOV + TRB + Age
fit <- lm(win_per ~ TS. + TOV + TRB + Age , data = data_both)
tidy(fit, conf.int = TRUE)
## # A tibble: 5 x 7
## term estimate std.error statistic p.value conf.low conf.high
## <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 (Intercept) -366. 53.5 -6.84 0.000000359 -476. -256.
## 2 TS. 472. 121. 3.92 0.000615 224. 721.
## 3 TOV -0.0439 0.0164 -2.68 0.0129 -0.0777 -0.0101
## 4 TRB 0.0374 0.00798 4.68 0.0000849 0.0209 0.0538
## 5 Age 2.44 1.33 1.84 0.0781 -0.295 5.17
summary(fit)
##
## Call:
## lm(formula = win_per ~ TS. + TOV + TRB + Age, data = data_both)
##
## Residuals:
## Min 1Q Median 3Q Max
## -13.8481 -4.6074 0.2328 3.9613 13.8741
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -365.99543 53.49450 -6.842 3.59e-07 ***
## TS. 472.31489 120.61488 3.916 0.000615 ***
## TOV -0.04394 0.01641 -2.677 0.012933 *
## TRB 0.03736 0.00798 4.682 8.49e-05 ***
## Age 2.43787 1.32708 1.837 0.078125 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 6.991 on 25 degrees of freedom
## Multiple R-squared: 0.8042, Adjusted R-squared: 0.7729
## F-statistic: 25.67 on 4 and 25 DF, p-value: 1.552e-08
car::durbinWatsonTest(fit)
## lag Autocorrelation D-W Statistic p-value
## 1 0.3968211 1.119269 0.006
## Alternative hypothesis: rho != 0
std_res <- rstandard(fit)
points <- 1:length(std_res)
ggplot(data = NULL, aes(x = points, y = std_res))+
geom_point() +
ylim(c(-4,4)) +
geom_hline(yintercept = c (-3,3), colour = "blue", linetype = "dashed")
hats <- hatvalues(fit)
ggplot(data = NULL, aes(x = points, y = hats)) +
geom_point()
hat_labels <- if_else(hats >= 0.4, paste(points), "")
ggplot(data = NULL, aes(x = points, y = hats)) +
geom_point() +
geom_text(aes(label = hat_labels), nudge_y = 0.02)
cook <- cooks.distance(fit)
ggplot(data = NULL, aes(x = points, y = cook)) +
geom_point()
cook_labels <- if_else(cook >= 0.1, paste(points), "")
ggplot(data = NULL, aes( x = points, y = cook)) +
geom_point() +
geom_text(aes(label = cook_labels), nudge_y = 0.02)
## Remove Potentially High Influence Points
outliers <-c(7,12)
filtered_df <- data_both %>%
filter(!Rk.x %in% outliers)
fit2 <- lm(win_per ~ TS. + TOV + TRB + Age , data = filtered_df)
tidy(fit2, conf.int = TRUE)
## # A tibble: 5 x 7
## term estimate std.error statistic p.value conf.low conf.high
## <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 (Intercept) -369. 47.7 -7.74 0.0000000748 -468. -270.
## 2 TS. 427. 109. 3.93 0.000667 202. 652.
## 3 TOV -0.0436 0.0157 -2.78 0.0106 -0.0759 -0.0112
## 4 TRB 0.0357 0.00715 4.99 0.0000479 0.0209 0.0505
## 5 Age 3.73 1.26 2.95 0.00711 1.12 6.35
summary(fit2)
##
## Call:
## lm(formula = win_per ~ TS. + TOV + TRB + Age, data = filtered_df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -12.5413 -3.9485 0.6496 3.8068 10.2021
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -3.690e+02 4.766e+01 -7.743 7.48e-08 ***
## TS. 4.269e+02 1.086e+02 3.931 0.000667 ***
## TOV -4.355e-02 1.566e-02 -2.781 0.010613 *
## TRB 3.569e-02 7.155e-03 4.989 4.79e-05 ***
## Age 3.733e+00 1.263e+00 2.955 0.007108 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 6.226 on 23 degrees of freedom
## Multiple R-squared: 0.8488, Adjusted R-squared: 0.8225
## F-statistic: 32.28 on 4 and 23 DF, p-value: 3.953e-09
res <- residuals(fit2)
fitted <- predict(fit2)
ggplot( data = NULL, aes(x = fitted, y = res))+
geom_point(colour = "dodgerblue")+
geom_hline(yintercept = 0, colour = "red", linetype = "dashed")
#Normality ## The conducted histogram looks normal, which supports model normality.
ggplot(data = NULL, aes(x = res)) +
geom_histogram(colour = "black", fill = "pink", binwidth = 4)
ggplot(data = NULL, aes(sample = res)) +
stat_qq() + stat_qq_line()
#Multicollinearity ## All vif values are < 4, which supports the model to have no multicollinearity influencing the standard errors of the coefficients.
car::vif(fit2)
## TS. TOV TRB Age
## 1.952931 1.100724 1.137471 1.888074
##Linearity
car::avPlots(fit2)
filtered_df <- mutate(filtered_df, exp_win = -369 + TS. * 426.9 + TOV * -0.04355 + TRB * 0.03569 + Age * 3.73282)
ggplot(data = filtered_df, aes(x = win_per, y = exp_win)) +
geom_point()+
geom_abline()
with(filtered_df, cor(x = win_per, y = exp_win))
## [1] 0.9213
## combining player data and salaries
p <- read.csv("~/Desktop/Reproducible Projects/Data/Raw/2018-19_nba_player-statistics.csv")
ps <- read.csv("~/Desktop/Reproducible Projects/Data/Raw/2018-19_nba_player-salaries.csv")
pms <- left_join(p,ps, by = "player_name")
complete(pms)
## player_name Pos Age Tm G GS MP FG FGA FG. X3P X3PA
## 1 Alex Abrines SG 25 OKC 31 2 588 56 157 0.357 41 127
## 2 Quincy Acy PF 28 PHO 10 0 123 4 18 0.222 2 15
## 3 Jaylen Adams PG 22 ATL 34 1 428 38 110 0.345 25 74
## 4 Steven Adams C 25 OKC 80 80 2669 481 809 0.595 0 2
## 5 Bam Adebayo C 21 MIA 82 28 1913 280 486 0.576 3 15
## 6 Deng Adel SF 21 CLE 19 3 194 11 36 0.306 6 23
## 7 DeVaughn Akoon-Purcell SG 25 DEN 7 0 22 3 10 0.300 0 4
## 8 LaMarcus Aldridge C 33 SAS 81 81 2687 684 1319 0.519 10 42
## 9 Rawle Alkins SG 21 CHI 10 1 120 13 39 0.333 3 12
## 10 Grayson Allen SG 23 UTA 38 2 416 67 178 0.376 32 99
## 11 Jarrett Allen C 20 BRK 80 80 2096 335 568 0.590 6 45
## 12 Kadeem Allen SG 26 NYK 19 1 416 65 141 0.461 17 36
## 13 Al-Farouq Aminu PF 28 POR 81 81 2292 257 593 0.433 96 280
## 14 Justin Anderson SF 25 ATL 48 4 463 64 157 0.408 24 77
## 15 Kyle Anderson SF 25 MEM 43 40 1281 150 276 0.543 9 34
## 16 Ryan Anderson PF 30 MIA 10 0 44 2 9 0.222 2 6
## 17 Ryan Anderson PF 30 PHO 15 8 278 19 60 0.317 7 34
## 18 Ryan Anderson PF 30 TOT 25 8 322 21 69 0.304 9 40
## 19 Ike Anigbogu C 20 IND 3 0 6 0 3 0.000 0 0
## 20 Giannis Antetokounmpo PF 24 MIL 72 72 2358 721 1247 0.578 52 203
## 21 Kostas Antetokounmpo PF 21 DAL 2 0 11 0 3 0.000 0 0
## 22 Carmelo Anthony PF 34 HOU 10 2 294 49 121 0.405 21 64
## 23 OG Anunoby SF 21 TOR 67 6 1352 183 404 0.453 67 202
## 24 Ryan Arcidiacono PG 24 CHI 81 32 1961 187 418 0.447 81 217
## 25 Trevor Ariza SF 33 PHO 26 26 884 86 227 0.379 50 139
## 26 Trevor Ariza SF 33 WAS 43 43 1465 208 509 0.409 95 295
## 27 Trevor Ariza SF 33 TOT 69 69 2349 294 736 0.399 145 434
## 28 DJ Augustin PG 31 ORL 81 81 2269 318 677 0.470 131 311
## 29 Deandre Ayton C 20 PHO 71 70 2183 509 870 0.585 0 4
## 30 Dwayne Bacon SG 23 CHO 43 13 759 122 257 0.475 38 87
## 31 Marvin Bagley PF 19 SAC 62 4 1567 356 706 0.504 30 96
## 32 Ron Baker SG 25 WAS 4 0 45 0 4 0.000 0 4
## 33 Ron Baker SG 25 TOT 15 0 152 4 20 0.200 1 13
## 34 Ron Baker SG 25 NYK 11 0 107 4 16 0.250 1 9
## 35 Wade Baldwin PG 22 POR 16 0 94 10 33 0.303 2 9
## 36 Lonzo Ball PG 21 LAL 47 45 1423 185 456 0.406 75 228
## 37 Mo Bamba C 20 ORL 47 1 766 117 243 0.481 21 70
## 38 JJ Barea PG 34 DAL 38 0 752 161 385 0.418 38 128
## 39 Harrison Barnes SF 26 SAC 28 28 949 141 310 0.455 53 130
## 40 Harrison Barnes PF 26 DAL 49 49 1584 290 717 0.404 121 311
## 41 Harrison Barnes PF-SF 26 TOT 77 77 2533 431 1027 0.420 174 441
## 42 Will Barton SG 28 DEN 43 38 1189 185 460 0.402 67 196
## 43 Keita Bates-Diop SF 23 MIN 30 3 503 60 142 0.423 13 52
## 44 Nicolas Batum SF 30 CHO 75 72 2354 253 562 0.450 116 298
## 45 Jerryd Bayless PG 30 MIN 34 6 657 82 230 0.357 29 98
## 46 Aron Baynes C 32 BOS 51 18 821 105 223 0.471 21 61
## 47 Kent Bazemore SG 29 ATL 67 35 1643 278 691 0.402 96 300
## 48 Bradley Beal SG 25 WAS 82 82 3028 764 1609 0.475 209 596
## 49 Malik Beasley SG 22 DEN 81 18 1879 349 737 0.474 163 405
## 50 Michael Beasley PF 30 LAL 26 2 277 75 153 0.490 3 17
## 51 Marco Belinelli SG 32 SAS 79 1 1815 285 690 0.413 147 395
## 52 Jordan Bell C 24 GSW 68 3 788 99 192 0.516 0 2
## 53 DeAndre' Bembry SG 24 ATL 82 15 1931 275 616 0.446 50 173
## 54 Dragan Bender PF 21 PHO 46 27 826 88 197 0.447 22 101
## 55 Dairis Bertans SG 29 NOP 12 0 167 12 47 0.255 10 34
## 56 Davis Bertans PF 26 SAS 76 12 1632 204 453 0.450 145 338
## 57 Patrick Beverley PG 30 LAC 78 49 2137 194 477 0.407 112 282
## 58 Khem Birch C 26 ORL 50 1 643 91 151 0.603 0 1
## 59 Bismack Biyombo C 26 CHO 54 32 783 89 156 0.571 0 0
## 60 Nemanja Bjelica PF 30 SAC 77 70 1788 284 593 0.479 103 257
## 61 Antonio Blakeney SG 22 CHI 57 3 829 166 396 0.419 36 91
## 62 Eric Bledsoe PG 29 MIL 78 78 2272 470 971 0.484 124 377
## 63 Jaron Blossomgame SF 25 CLE 27 4 439 47 106 0.443 10 39
## 64 Bogdan Bogdanovic SG 26 SAC 70 17 1947 361 863 0.418 134 372
## 65 Bojan Bogdanovic SF 29 IND 81 81 2573 522 1051 0.497 164 386
## 66 Andrew Bogut C 34 GSW 11 5 134 18 36 0.500 0 0
## 67 Jonah Bolden PF 23 PHI 44 10 639 80 162 0.494 34 96
## 68 Isaac Bonga PG 19 LAL 22 0 120 5 33 0.152 0 8
## 69 Devin Booker SG 22 PHO 64 64 2242 586 1255 0.467 135 414
## 70 Chris Boucher PF 26 TOR 28 0 163 34 76 0.447 12 37
## 71 Avery Bradley SG 28 MEM 14 14 442 87 188 0.463 28 73
## 72 Avery Bradley SG 28 LAC 49 49 1463 161 420 0.383 58 172
## 73 Avery Bradley SG 28 TOT 63 63 1905 248 608 0.408 86 245
## 74 Tony Bradley C 21 UTA 3 0 36 8 16 0.500 0 0
## 75 Corey Brewer SF 32 PHI 7 3 140 20 49 0.408 4 14
## 76 Corey Brewer SF 32 SAC 24 0 352 33 74 0.446 10 30
## 77 Corey Brewer SF 32 TOT 31 3 492 53 123 0.431 14 44
## 78 Mikal Bridges SF 22 PHO 82 56 2417 242 563 0.430 105 313
## 79 Miles Bridges SF 20 CHO 80 25 1696 237 511 0.464 65 200
## 80 Isaiah Briscoe PG 22 ORL 39 0 559 55 138 0.399 11 34
## 81 Ryan Broekhoff SG 28 DAL 42 0 453 57 126 0.452 38 93
## 82 Malcolm Brogdon SG 26 MIL 64 64 1832 378 748 0.505 104 244
## 83 Dillon Brooks SF 23 MEM 18 0 330 49 122 0.402 15 40
## 84 MarShon Brooks SG 30 MEM 29 0 387 76 169 0.450 15 54
## 85 Bruce Brown SG 22 DET 74 56 1449 125 314 0.398 24 93
## 86 Jaylen Brown SG 22 BOS 74 25 1913 368 792 0.465 95 276
## 87 Lorenzo Brown PG 28 TOR 26 0 212 23 71 0.324 6 28
## 88 Sterling Brown SG 23 MIL 58 7 1034 145 312 0.465 53 147
## 89 Troy Brown SF 19 WAS 52 10 730 97 234 0.415 22 69
## 90 Jalen Brunson PG 22 DAL 73 38 1591 264 565 0.467 63 181
## 91 Thomas Bryant C 21 WAS 72 53 1496 309 502 0.616 33 99
## 92 Reggie Bullock SG 27 LAL 19 16 524 63 153 0.412 34 99
## 93 Reggie Bullock SG 27 DET 44 44 1355 182 441 0.413 114 294
## 94 Reggie Bullock SG 27 TOT 63 60 1879 245 594 0.412 148 393
## 95 Trey Burke PG 26 DAL 25 1 436 88 190 0.463 26 73
## 96 Trey Burke PG 26 NYK 33 7 689 148 358 0.413 30 86
## 97 Trey Burke PG 26 TOT 58 8 1125 236 548 0.431 56 159
## 98 Alec Burks SG 27 SAC 13 0 127 9 20 0.450 0 6
## 99 Alec Burks SG 27 UTA 17 0 269 47 114 0.412 16 43
## 100 Alec Burks SG 27 CLE 34 24 979 136 340 0.400 45 119
## 101 Alec Burks SG 27 TOT 64 24 1375 192 474 0.405 61 168
## 102 Deonte Burton SG 25 OKC 32 0 240 33 82 0.402 8 27
## 103 Jimmy Butler SG 29 MIN 10 10 361 74 157 0.471 17 45
## 104 Jimmy Butler SF 29 PHI 55 55 1824 344 747 0.461 50 148
## 105 Jimmy Butler SF-SG 29 TOT 65 65 2185 418 904 0.462 67 193
## 106 Bruno Caboclo SF 23 MEM 34 19 800 96 225 0.427 48 130
## 107 Jose Calderon PG 37 DET 49 0 632 45 120 0.375 14 57
## 108 Kentavious Caldwell-Pope SG 25 LAL 82 23 2035 325 756 0.430 151 435
## 109 Isaiah Canaan PG 27 MIL 4 0 31 2 6 0.333 2 5
## 110 Isaiah Canaan PG 27 MIN 7 1 95 11 29 0.379 7 19
## 111 Isaiah Canaan PG 27 PHO 19 15 503 51 129 0.395 25 72
## 112 Isaiah Canaan PG 27 TOT 30 16 629 64 164 0.390 34 96
## 113 Clint Capela C 24 HOU 67 67 2249 474 732 0.648 0 0
## 114 DeMarre Carroll PF 32 BRK 67 8 1703 227 575 0.395 106 310
## 115 Jevon Carter PG 23 MEM 39 3 577 56 185 0.303 34 102
## 116 Vince Carter PF 42 ATL 76 9 1330 196 468 0.419 123 316
## 117 Wendell Carter C 19 CHI 44 44 1110 180 371 0.485 6 32
## 118 Michael Carter-Williams PG 27 ORL 12 0 227 21 62 0.339 3 19
## 119 Michael Carter-Williams PG 27 HOU 16 1 145 25 61 0.410 7 19
## 120 Michael Carter-Williams PG 27 TOT 28 1 372 46 123 0.374 10 38
## 121 Alex Caruso PG 24 LAL 25 4 531 77 173 0.445 24 50
## 122 Omri Casspi SF 30 MEM 36 0 520 86 161 0.534 15 43
## 123 Willie Cauley-Stein C 25 SAC 81 81 2213 412 741 0.556 1 2
## 124 Troy Caupain PG 23 ORL 4 0 16 4 8 0.500 2 3
## 125 Tyler Cavanaugh PF 24 UTA 11 0 39 3 10 0.300 1 5
## 126 Tyson Chandler C 36 PHO 7 0 89 8 12 0.667 0 0
## 127 Tyson Chandler C 36 LAL 48 6 786 53 87 0.609 0 1
## 128 Tyson Chandler C 36 TOT 55 6 875 61 99 0.616 0 1
## 129 Wilson Chandler SF 31 LAC 15 1 226 23 66 0.348 13 40
## 130 Wilson Chandler PF 31 PHI 36 32 951 91 207 0.440 46 118
## 131 Wilson Chandler PF-SF 31 TOT 51 33 1177 114 273 0.418 59 158
## 132 Joe Chealey PG 23 CHO 1 0 8 1 3 0.333 0 0
## 133 Chris Chiozza PG 23 HOU 7 0 33 2 8 0.250 2 5
## 134 Marquese Chriss PF 21 HOU 16 0 104 11 34 0.324 1 15
## 135 Marquese Chriss PF 21 CLE 27 2 395 56 146 0.384 15 57
## 136 Marquese Chriss PF 21 TOT 43 2 499 67 180 0.372 16 72
## 137 Gary Clark PF 24 HOU 51 2 641 50 151 0.331 41 138
## 138 Ian Clark SG 27 NOP 60 6 973 151 383 0.394 66 202
## 139 Jordan Clarkson SG 26 CLE 81 0 2214 529 1180 0.448 144 445
## 140 John Collins PF 21 ATL 61 59 1829 465 831 0.560 55 158
## 141 Zach Collins C 21 POR 77 0 1356 189 400 0.473 40 121
## 142 Darren Collison PG 31 IND 76 76 2143 308 659 0.467 79 194
## 143 Bonzie Colson SF 23 MIL 8 2 98 13 39 0.333 5 21
## 144 Mike Conley PG 31 MEM 70 70 2342 490 1120 0.438 155 426
## 145 Pat Connaughton SG 26 MIL 61 2 1261 163 350 0.466 66 200
## 146 Quinn Cook PG 25 GSW 74 10 1059 204 439 0.465 81 200
## 147 DeMarcus Cousins C 28 GSW 30 30 771 178 371 0.480 26 95
## 148 Robert Covington SF 28 PHI 13 13 440 50 117 0.427 30 77
## 149 Robert Covington SF 28 MIN 22 22 763 106 245 0.433 55 148
## 150 Robert Covington SF 28 TOT 35 35 1203 156 362 0.431 85 225
## 151 Allen Crabbe SG 26 BRK 43 20 1133 137 373 0.367 98 259
## 152 Torrey Craig SF 28 DEN 75 37 1503 160 362 0.442 61 188
## 153 Jamal Crawford SG 38 PHO 64 0 1211 174 438 0.397 67 202
## 154 Mitch Creek SF 26 MIN 1 0 12 3 6 0.500 0 1
## 155 Mitch Creek SF 26 BRK 4 0 36 5 10 0.500 0 1
## 156 Mitch Creek SF 26 TOT 5 0 48 8 16 0.500 0 2
## 157 Jae Crowder SF 28 UTA 80 11 2166 318 797 0.399 173 522
## 158 Dante Cunningham PF 31 SAS 64 21 928 75 158 0.475 30 65
## 159 Seth Curry SG 28 POR 74 2 1399 212 465 0.456 113 251
## 160 Stephen Curry PG 30 GSW 69 69 2331 632 1340 0.472 354 810
## 161 Troy Daniels SG 27 PHO 51 1 760 113 275 0.411 74 194
## 162 Anthony Davis C 25 NOP 56 56 1850 530 1026 0.517 48 145
## 163 Deyonta Davis C 22 ATL 9 0 118 15 22 0.682 0 1
## 164 Ed Davis C 29 BRK 81 1 1446 186 302 0.616 0 2
## 165 Tyler Davis C 21 OKC 1 0 1 0 1 0.000 0 0
## 166 Dewayne Dedmon C 29 ATL 64 52 1609 259 526 0.492 83 217
## 167 Sam Dekker PF 24 CLE 9 5 169 22 48 0.458 5 13
## 168 Sam Dekker PF 24 WAS 38 0 619 98 208 0.471 14 49
## 169 Sam Dekker PF 24 TOT 47 5 788 120 256 0.469 19 62
## 170 Angel Delgado C 24 LAC 2 0 15 1 5 0.200 0 0
## 171 Matthew Dellavedova PG 28 MIL 12 0 97 6 19 0.316 4 11
## 172 Matthew Dellavedova PG 28 CLE 36 0 715 92 223 0.413 40 119
## 173 Matthew Dellavedova PG 28 TOT 48 0 812 98 242 0.405 44 130
## 174 Luol Deng SF 33 MIN 22 2 392 59 118 0.500 14 44
## 175 DeMar DeRozan SG 29 SAS 77 77 2688 631 1313 0.481 7 45
## 176 Marcus Derrickson PF 22 GSW 11 0 67 16 33 0.485 10 20
## 177 Cheick Diallo PF 22 NOP 64 1 896 168 271 0.620 1 4
## 178 Hamidou Diallo SG 20 OKC 51 3 526 75 165 0.455 4 24
## 179 Gorgui Dieng C 29 MIN 76 2 1031 189 377 0.501 19 56
## 180 Spencer Dinwiddie PG 25 BRK 68 4 1914 366 828 0.442 124 370
## 181 Donte DiVincenzo SG 22 MIL 27 0 411 50 124 0.403 22 83
## 182 Luka Doncic SG 19 DAL 72 72 2318 506 1186 0.427 168 514
## 183 Tyler Dorsey SG 22 ATL 27 0 251 32 89 0.360 10 39
## 184 Tyler Dorsey SG 22 MEM 21 11 447 75 175 0.429 34 93
## 185 Tyler Dorsey SG 22 TOT 48 11 698 107 264 0.405 44 132
## 186 Damyean Dotson SG 24 NYK 73 40 2004 290 698 0.415 126 342
## 187 PJ Dozier SG 22 BOS 6 0 51 8 21 0.381 2 8
## 188 Goran Dragic PG 32 MIA 36 22 991 179 433 0.413 57 164
## 189 Andre Drummond C 25 DET 79 79 2647 561 1052 0.533 5 38
## 190 Jared Dudley PF 33 BRK 59 25 1220 101 239 0.423 53 151
## 191 Kris Dunn PG 24 CHI 46 44 1389 215 506 0.425 34 96
## 192 Kevin Durant SF 30 GSW 78 78 2702 721 1383 0.521 137 388
## 193 Trevon Duval PG 20 MIL 3 0 6 2 3 0.667 1 1
## 194 Vince Edwards SF 22 HOU 2 0 16 1 4 0.250 1 4
## 195 Henry Ellenson PF 22 DET 2 0 25 4 10 0.400 2 4
## 196 Henry Ellenson PF 22 NYK 17 0 234 35 85 0.412 15 34
## 197 Henry Ellenson PF 22 TOT 19 0 259 39 95 0.411 17 38
## 198 Wayne Ellington SG 31 MIA 25 12 533 69 184 0.375 57 155
## 199 Wayne Ellington SG 31 DET 28 26 764 115 273 0.421 81 217
## 200 Wayne Ellington SG 31 TOT 53 38 1297 184 457 0.403 138 372
## 201 Joel Embiid C 24 PHI 64 64 2154 580 1199 0.484 79 263
## 202 James Ennis SF 28 PHI 18 2 281 34 83 0.410 11 36
## 203 James Ennis SF 28 HOU 40 25 949 104 211 0.493 44 120
## 204 James Ennis SF 28 TOT 58 27 1230 138 294 0.469 55 156
## 205 Drew Eubanks PF 21 SAS 23 0 113 15 26 0.577 0 0
## 206 Jacob Evans SG 21 GSW 30 1 204 18 53 0.340 4 15
## 207 Jawun Evans PG 22 OKC 1 0 1 0 1 0.000 0 1
## 208 Jawun Evans PG 22 TOT 8 0 65 3 14 0.214 0 3
## 209 Jawun Evans PG 22 PHO 7 0 64 3 13 0.231 0 2
## 210 Tyreke Evans SG 29 IND 69 18 1402 257 660 0.389 77 216
## 211 Dante Exum PG 23 UTA 42 1 664 101 241 0.419 18 62
## 212 Kenneth Faried C 29 BRK 12 0 118 25 42 0.595 1 5
## 213 Kenneth Faried C 29 HOU 25 13 610 131 223 0.587 7 20
## 214 Kenneth Faried C 29 TOT 37 13 728 156 265 0.589 8 25
## 215 Derrick Favors C 27 UTA 76 70 1766 363 619 0.586 17 78
## 216 Raymond Felton PG 34 OKC 33 0 379 55 135 0.407 20 61
## 217 Cristiano Felicio C 26 CHI 60 0 746 95 179 0.531 0 4
## 218 Terrance Ferguson SG 20 OKC 74 74 1931 185 431 0.429 106 290
## 219 Yogi Ferrell PG 25 SAC 71 3 1067 153 352 0.435 54 149
## 220 Dorian Finney-Smith SF 25 DAL 81 26 1985 228 528 0.432 79 254
## 221 Bryn Forbes SG 25 SAS 82 81 2293 361 791 0.456 176 413
## 222 Evan Fournier SG 26 ORL 81 81 2553 468 1069 0.438 153 450
## 223 De'Aaron Fox PG 21 SAC 81 81 2546 505 1102 0.458 86 232
## 224 Melvin Frazier SG 22 ORL 10 0 44 7 21 0.333 0 6
## 225 Tim Frazier PG 28 MIL 12 2 211 28 66 0.424 10 24
## 226 Tim Frazier PG 28 NOP 47 17 909 88 195 0.451 27 77
## 227 Tim Frazier PG 28 TOT 59 19 1120 116 261 0.444 37 101
## 228 Jimmer Fredette SG 29 PHO 6 0 65 8 29 0.276 0 13
## 229 Channing Frye C 35 CLE 36 6 341 43 117 0.368 32 79
## 230 Markelle Fultz SG 20 PHI 19 15 427 65 155 0.419 4 14
## 231 Danilo Gallinari SF 30 LAC 68 68 2059 409 884 0.463 161 372
## 232 Langston Galloway SG 27 DET 80 4 1745 228 587 0.388 135 380
## 233 Billy Garrett SG 24 NYK 4 0 63 11 27 0.407 0 8
## 234 Marc Gasol C 34 TOR 26 19 648 87 187 0.465 23 52
## 235 Marc Gasol C 34 MEM 53 53 1788 303 683 0.444 76 221
## 236 Marc Gasol C 34 TOT 79 72 2436 390 870 0.448 99 273
## 237 Pau Gasol C 38 MIL 3 0 30 1 6 0.167 1 3
## 238 Pau Gasol C 38 SAS 27 6 330 41 88 0.466 5 10
## 239 Pau Gasol C 38 TOT 30 6 360 42 94 0.447 6 13
## 240 Rudy Gay PF 32 SAS 69 51 1842 376 746 0.504 74 184
## 241 Paul George SF 28 OKC 77 77 2841 707 1614 0.438 292 757
## 242 Taj Gibson PF 33 MIN 70 57 1686 304 537 0.566 11 34
## 243 Harry Giles PF 20 SAC 58 0 820 175 348 0.503 0 6
## 244 Shai Gilgeous-Alexander PG 20 LAC 82 73 2174 341 716 0.476 51 139
## 245 Rudy Gobert C 26 UTA 81 80 2577 476 712 0.669 0 0
## 246 Brandon Goodwin PG 23 DEN 16 0 57 6 23 0.261 2 6
## 247 Aaron Gordon PF 23 ORL 78 78 2633 470 1046 0.449 121 347
## 248 Eric Gordon SG 30 HOU 68 53 2158 384 938 0.409 216 600
## 249 Marcin Gortat C 34 LAC 47 43 751 99 186 0.532 0 0
## 250 Devonte' Graham PG 23 CHO 46 3 676 74 216 0.343 34 121
## 251 Treveon Graham SG 25 BRK 35 21 715 64 191 0.335 38 128
## 252 Jerami Grant PF 24 OKC 80 77 2612 409 823 0.497 115 293
## 253 Jerian Grant PG 26 ORL 60 1 939 92 220 0.418 40 110
## 254 Donte Grantham SF 23 OKC 3 0 2 0 2 0.000 0 2
## 255 Danny Green SG 31 TOR 80 80 2216 293 630 0.465 198 435
## 256 Draymond Green PF 28 GSW 66 66 2065 188 422 0.445 47 165
## 257 Gerald Green SG 33 HOU 73 0 1473 231 578 0.400 156 441
## 258 JaMychal Green PF 28 LAC 24 2 471 79 164 0.482 33 80
## 259 JaMychal Green PF 28 MEM 41 4 900 151 312 0.484 38 96
## 260 JaMychal Green PF 28 TOT 65 6 1371 230 476 0.483 71 176
## 261 Jeff Green PF 32 WAS 77 44 2097 326 687 0.475 111 320
## 262 Blake Griffin PF 29 DET 75 75 2622 619 1341 0.462 189 522
## 263 Daniel Hamilton SG 23 ATL 19 3 204 23 60 0.383 8 23
## 264 Dusty Hannahs SG 25 MEM 2 0 26 3 12 0.250 0 5
## 265 Tim Hardaway SG 26 DAL 19 17 558 108 267 0.404 45 140
## 266 Tim Hardaway SG 26 NYK 46 46 1499 282 726 0.388 117 337
## 267 Tim Hardaway SG 26 TOT 65 63 2057 390 993 0.393 162 477
## 268 James Harden PG 29 HOU 78 78 2867 843 1909 0.442 378 1028
## 269 Maurice Harkless SF 25 POR 60 53 1415 189 388 0.487 33 120
## 270 Montrezl Harrell C 25 LAC 82 5 2158 546 888 0.615 3 17
## 271 Devin Harris PG 35 DAL 68 2 1071 132 347 0.380 62 200
## 272 Gary Harris SG 24 DEN 57 48 1639 270 637 0.424 82 242
## 273 Joe Harris SG 27 BRK 76 76 2293 374 748 0.500 183 386
## 274 Tobias Harris PF 26 PHI 27 27 944 187 399 0.469 44 135
## 275 Tobias Harris PF 26 LAC 55 55 1903 424 855 0.496 112 258
## 276 Tobias Harris PF 26 TOT 82 82 2847 611 1254 0.487 156 393
## 277 Andrew Harrison PG 24 MEM 1 0 5 1 2 0.500 0 1
## 278 Andrew Harrison PG 24 NOP 6 0 38 3 12 0.250 2 10
## 279 Andrew Harrison PG 24 CLE 10 0 144 12 39 0.308 3 14
## 280 Andrew Harrison PG 24 TOT 17 0 187 16 53 0.302 5 25
## 281 Shaquille Harrison PG 25 CHI 73 11 1430 184 426 0.432 24 89
## 282 Josh Hart SG 23 LAL 67 22 1715 189 464 0.407 92 274
## 283 Isaiah Hartenstein PF 20 HOU 28 0 221 20 41 0.488 2 6
## 284 Udonis Haslem C 38 MIA 10 1 74 11 33 0.333 0 12
## 285 Gordon Hayward PF 28 BOS 72 18 1863 296 635 0.466 77 231
## 286 John Henson C 28 MIL 14 0 188 31 67 0.463 11 31
## 287 Juan Hernangomez PF 23 DEN 70 25 1358 138 314 0.439 66 181
## 288 Willy Hernangomez C 24 CHO 58 3 812 153 295 0.519 15 39
## 289 Mario Hezonja SF 23 NYK 58 24 1206 191 464 0.412 42 152
## 290 Isaiah Hicks PF 24 NYK 3 0 32 4 8 0.500 0 0
## 291 Buddy Hield SG 26 SAC 82 82 2615 623 1360 0.458 278 651
## 292 Haywood Highsmith SF 22 PHI 5 0 40 4 10 0.400 1 5
## 293 George Hill PG 32 CLE 13 13 344 55 107 0.514 13 28
## 294 George Hill PG 32 MIL 47 0 958 115 269 0.428 35 125
## 295 George Hill PG 32 TOT 60 13 1302 170 376 0.452 48 153
## 296 Solomon Hill SF 27 NOP 44 15 878 68 178 0.382 32 101
## 297 Nene Hilario C 36 HOU 42 2 546 60 116 0.517 0 3
## 298 Aaron Holiday PG 22 IND 50 0 646 105 262 0.401 43 127
## 299 Jrue Holiday SG 28 NOP 67 67 2402 547 1159 0.472 118 363
## 300 Justin Holiday SG 29 MEM 44 39 1282 149 383 0.389 65 195
## 301 Justin Holiday SG 29 CHI 38 38 1325 151 394 0.383 97 270
## 302 Justin Holiday SG 29 TOT 82 77 2607 300 777 0.386 162 465
## 303 John Holland SF 30 CLE 1 0 1 0 0 NA 0 0
## 304 Rondae Hollis-Jefferson SF 24 BRK 59 21 1234 200 487 0.411 9 49
## 305 Richaun Holmes C 25 PHO 70 4 1184 222 365 0.608 0 0
## 306 Rodney Hood SG 26 POR 27 4 659 98 217 0.452 29 84
## 307 Rodney Hood SG 26 CLE 45 45 1234 194 454 0.427 55 152
## 308 Rodney Hood SG 26 TOT 72 49 1893 292 671 0.435 84 236
## 309 Al Horford C 32 BOS 68 68 1973 387 723 0.535 73 203
## 310 Danuel House SF 25 HOU 39 13 979 118 252 0.468 74 178
## 311 Dwight Howard C 33 WAS 9 9 230 43 69 0.623 0 0
## 312 Kevin Huerter SG 20 ATL 75 59 2048 275 657 0.419 136 353
## 313 Isaac Humphries C 21 ATL 5 1 56 6 21 0.286 3 11
## 314 RJ Hunter SG 25 BOS 1 0 26 6 13 0.462 4 10
## 315 Chandler Hutchison SF 22 CHI 44 14 895 96 209 0.459 14 50
## 316 Serge Ibaka C 29 TOR 74 51 2010 464 877 0.529 49 169
## 317 Andre Iguodala SF 35 GSW 68 13 1578 151 302 0.500 48 144
## 318 Joe Ingles PF 31 UTA 82 82 2568 359 802 0.448 189 483
## 319 Andre Ingram SG 33 LAL 4 0 15 0 6 0.000 0 3
## 320 Brandon Ingram SF 21 LAL 52 52 1760 362 729 0.497 31 94
## 321 Kyrie Irving PG 26 BOS 67 67 2214 604 1241 0.487 174 434
## 322 Jonathan Isaac PF 21 ORL 75 64 1996 262 611 0.429 86 266
## 323 Wesley Iwundu SF 24 ORL 68 13 1233 113 274 0.412 29 79
## 324 Ersan Ilyasova PF 31 MIL 67 7 1231 167 381 0.438 58 160
## 325 Demetrius Jackson PG 24 PHI 6 0 39 8 15 0.533 2 6
## 326 Frank Jackson PG 20 NOP 61 16 1169 194 447 0.434 53 169
## 327 Jaren Jackson PF 19 MEM 58 56 1515 298 589 0.506 51 142
## 328 Josh Jackson SG 21 PHO 79 29 1988 347 841 0.413 73 225
## 329 Justin Jackson SF 23 DAL 29 11 531 92 190 0.484 32 86
## 330 Justin Jackson SF 23 SAC 52 3 1083 125 295 0.424 55 159
## 331 Justin Jackson SF 23 TOT 81 14 1614 217 485 0.447 87 245
## 332 Reggie Jackson PG 28 DET 82 82 2289 441 1047 0.421 174 471
## 333 LeBron James SF 34 LAL 55 55 1937 558 1095 0.510 111 327
## 334 Amile Jefferson PF 25 ORL 12 0 68 10 16 0.625 0 0
## 335 John Jenkins SG 27 WAS 4 0 14 2 2 1.000 2 2
## 336 John Jenkins SG 27 NYK 22 0 319 40 103 0.388 20 56
## 337 John Jenkins SG 27 TOT 26 0 333 42 105 0.400 22 58
## 338 Jonas Jerebko PF 31 GSW 73 6 1218 163 355 0.459 69 188
## 339 Alize Johnson PF 22 IND 14 0 64 4 16 0.250 1 2
## 340 Amir Johnson C 31 PHI 51 6 529 79 157 0.503 12 40
## 341 BJ Johnson SF 23 SAC 1 0 6 1 2 0.500 0 1
## 342 BJ Johnson SF 23 ATL 6 0 43 8 16 0.500 3 6
## 343 BJ Johnson SF 23 TOT 7 0 49 9 18 0.500 3 7
## 344 James Johnson PF 31 MIA 55 33 1164 164 379 0.433 50 149
## 345 Stanley Johnson SF 22 NOP 18 0 247 38 91 0.418 11 34
## 346 Stanley Johnson SF 22 DET 48 7 961 133 349 0.381 51 181
## 347 Stanley Johnson SF 22 TOT 66 7 1208 171 440 0.389 62 215
## 348 Tyler Johnson PG 26 PHO 13 12 406 46 125 0.368 18 56
## 349 Tyler Johnson PG 26 MIA 44 10 1123 171 401 0.426 72 204
## 350 Tyler Johnson PG 26 TOT 57 22 1529 217 526 0.413 90 260
## 351 Wesley Johnson SF 31 WAS 12 0 157 10 40 0.250 6 26
## 352 Wesley Johnson SF 31 NOP 26 13 377 35 88 0.398 19 50
## 353 Wesley Johnson SF 31 TOT 38 13 534 45 128 0.352 25 76
## 354 Nikola Jokic C 23 DEN 80 80 2504 616 1206 0.511 83 270
## 355 Damian Jones C 23 GSW 24 22 410 53 74 0.716 0 0
## 356 Derrick Jones SF 21 MIA 60 14 1153 160 324 0.494 28 91
## 357 Jalen Jones SF 25 CLE 16 0 214 26 62 0.419 10 28
## 358 Jemerrio Jones SF 23 LAL 6 2 143 12 33 0.364 2 10
## 359 Terrence Jones PF 27 HOU 2 0 5 1 4 0.250 0 2
## 360 Tyus Jones PG 22 MIN 68 23 1560 185 446 0.415 40 126
## 361 DeAndre Jordan C 30 NYK 19 19 493 78 123 0.634 0 0
## 362 DeAndre Jordan C 30 DAL 50 50 1554 208 323 0.644 0 0
## 363 DeAndre Jordan C 30 TOT 69 69 2047 286 446 0.641 0 0
## 364 Cory Joseph PG 27 IND 82 9 2063 226 548 0.412 55 171
## 365 Frank Kaminsky C 25 CHO 47 0 755 138 298 0.463 50 139
## 366 Enes Kanter C 26 POR 23 8 512 124 215 0.577 3 12
## 367 Enes Kanter C 26 NYK 44 23 1128 251 468 0.536 7 22
## 368 Enes Kanter C 26 TOT 67 31 1640 375 683 0.549 10 34
## 369 Luke Kennard SG 22 DET 63 10 1437 228 520 0.438 106 269
## 370 Michael Kidd-Gilchrist PF 25 CHO 64 3 1179 158 332 0.476 16 47
## 371 George King SF 25 PHO 1 0 6 0 0 NA 0 0
## 372 Maxi Kleber PF 27 DAL 71 18 1502 175 386 0.453 77 218
## 373 Brandon Knight PG 27 HOU 12 0 118 11 47 0.234 5 32
## 374 Brandon Knight PG 27 CLE 27 26 618 88 213 0.413 36 97
## 375 Brandon Knight PG 27 TOT 39 26 736 99 260 0.381 41 129
## 376 Kevin Knox PF 19 NYK 75 57 2158 338 914 0.370 125 364
## 377 Furkan Korkmaz SG 21 PHI 48 7 679 98 245 0.400 47 144
## 378 Luke Kornet PF 23 NYK 46 18 784 107 283 0.378 70 193
## 379 Kyle Korver PF 37 CLE 16 0 251 35 76 0.461 25 54
## 380 Kyle Korver SG 37 UTA 54 0 1083 166 407 0.408 113 294
## 381 Kyle Korver SG-PF 37 TOT 70 0 1334 201 483 0.416 138 348
## 382 Kosta Koufos C 29 SAC 42 1 502 73 153 0.477 0 0
## 383 Rodions Kurucs SF 20 BRK 63 46 1294 202 449 0.450 58 184
## 384 Kyle Kuzma PF 23 LAL 70 68 2314 496 1087 0.456 128 422
## 385 Skal Labissiere PF 22 POR 9 1 63 13 19 0.684 2 2
## 386 Skal Labissiere PF 22 SAC 13 0 113 13 30 0.433 4 11
## 387 Skal Labissiere PF 22 TOT 22 1 176 26 49 0.531 6 13
## 388 Jeremy Lamb SG 26 CHO 79 55 2250 431 979 0.440 115 330
## 389 Zach LaVine SG 23 CHI 63 62 2171 530 1135 0.467 120 321
## 390 Jake Layman SF 24 POR 71 33 1327 216 424 0.509 59 181
## 391 TJ Leaf PF 21 IND 58 1 522 99 183 0.541 8 31
## 392 Courtney Lee SG 33 NYK 12 2 160 21 47 0.447 5 16
## 393 Courtney Lee SG 33 DAL 22 4 268 32 82 0.390 11 39
## 394 Courtney Lee SG 33 TOT 34 6 428 53 129 0.411 16 55
## 395 Damion Lee SG 26 GSW 32 0 375 56 127 0.441 27 68
## 396 Walt Lemon PG 26 CHI 6 3 167 38 87 0.437 2 5
## 397 Alex Len C 25 ATL 77 31 1544 320 648 0.494 74 204
## 398 Kawhi Leonard SF 27 TOR 60 60 2040 560 1129 0.496 112 302
## 399 Meyers Leonard C 26 POR 61 2 878 132 242 0.545 50 111
## 400 Jon Leuer PF 29 DET 41 1 402 66 113 0.584 1 11
## 401 Caris LeVert SF 24 BRK 40 25 1063 207 483 0.429 48 154
## 402 Damian Lillard PG 28 POR 80 80 2838 681 1533 0.444 237 643
## 403 Jeremy Lin PG 30 TOR 23 3 433 58 155 0.374 11 55
## 404 Jeremy Lin PG 30 ATL 51 1 1003 180 386 0.466 44 132
## 405 Jeremy Lin PG 30 TOT 74 4 1436 238 541 0.440 55 187
## 406 Shaun Livingston PG 33 GSW 64 0 967 109 210 0.519 0 2
## 407 Zach Lofton SG 26 DET 1 0 4 0 1 0.000 0 1
## 408 Kevon Looney C 22 GSW 80 24 1481 217 347 0.625 1 10
## 409 Brook Lopez C 30 MIL 81 81 2322 355 786 0.452 187 512
## 410 Robin Lopez C 30 CHI 74 36 1606 304 535 0.568 7 31
## 411 Kevin Love PF 30 CLE 22 21 598 109 283 0.385 53 147
## 412 Kyle Lowry PG 32 TOR 65 65 2213 304 739 0.411 157 453
## 413 Jordan Loyd PG 25 TOR 12 0 55 8 18 0.444 4 8
## 414 Kalin Lucas PG 29 DET 1 0 6 0 1 0.000 0 1
## 415 Timothe Luwawu-Cabarrot SF 23 OKC 21 1 123 13 43 0.302 5 22
## 416 Timothe Luwawu-Cabarrot SF 23 CHI 29 6 546 69 175 0.394 31 94
## 417 Timothe Luwawu-Cabarrot SF 23 TOT 50 7 669 82 218 0.376 36 116
## 418 Tyler Lydon PF 22 DEN 25 0 94 9 18 0.500 4 10
## 419 Trey Lyles PF 23 DEN 64 2 1120 207 495 0.418 51 200
## 420 Scott Machado PG 28 LAL 4 0 19 4 6 0.667 1 1
## 421 Shelvin Mack PG 28 CHO 4 0 42 2 14 0.143 0 2
## 422 Shelvin Mack PG 28 MEM 53 3 1204 161 389 0.414 46 128
## 423 Shelvin Mack PG 28 TOT 57 3 1246 163 403 0.404 46 130
## 424 Daryl Macon SG 23 DAL 8 0 90 10 27 0.370 5 11
## 425 JP Macura SG 23 CHO 2 0 17 3 9 0.333 0 4
## 426 Ian Mahinmi C 32 WAS 34 6 498 47 104 0.452 3 16
## 427 Thon Maker PF 21 DET 29 5 563 50 134 0.373 23 75
## 428 Thon Maker C 21 MIL 35 0 409 59 134 0.440 26 78
## 429 Thon Maker C-PF 21 TOT 64 5 972 109 268 0.407 49 153
## 430 Boban Marjanovic C 30 PHI 22 3 305 75 120 0.625 4 8
## 431 Boban Marjanovic C 30 LAC 36 9 376 85 140 0.607 0 2
## 432 Boban Marjanovic C 30 TOT 58 12 681 160 260 0.615 4 10
## 433 Lauri Markkanen PF 21 CHI 52 51 1682 342 795 0.430 120 332
## 434 Jarell Martin PF 24 ORL 42 1 328 43 104 0.413 20 57
## 435 Frank Mason PG 24 SAC 38 0 435 71 169 0.420 14 64
## 436 Yante Maten PF 22 MIA 2 0 13 1 4 0.250 0 1
## 437 Wesley Matthews SG 32 NYK 2 1 54 4 19 0.211 2 10
## 438 Wesley Matthews SG 32 IND 23 23 725 81 210 0.386 48 130
## 439 Wesley Matthews SF 32 DAL 44 44 1312 194 469 0.414 100 263
## 440 Wesley Matthews SF-SG 32 TOT 69 68 2091 279 698 0.400 150 403
## 441 Luc Mbah a Moute PF 32 LAC 4 0 61 8 18 0.444 2 6
## 442 Tahjere McCall SG 24 BRK 1 0 8 2 3 0.667 0 1
## 443 Patrick McCaw SG 23 CLE 3 0 53 2 9 0.222 1 4
## 444 Patrick McCaw SG 23 TOR 26 1 344 24 54 0.444 8 24
## 445 Patrick McCaw SG 23 TOT 29 1 397 26 63 0.413 9 28
## 446 CJ McCollum SG 27 POR 70 70 2375 571 1243 0.459 167 445
## 447 TJ McConnell PG 26 PHI 76 3 1470 220 419 0.525 14 42
## 448 Doug McDermott SF 27 IND 77 1 1340 207 422 0.491 84 206
## 449 JaVale McGee C 31 LAL 75 62 1671 400 641 0.624 1 12
## 450 Rodney McGruder SG 27 MIA 66 45 1550 186 461 0.403 79 225
## 451 Alfonzo McKinnie SF 26 GSW 72 5 1003 134 275 0.487 42 118
## 452 Ben McLemore SG 25 SAC 19 0 158 25 64 0.391 17 41
## 453 Jordan McRae SG 27 WAS 27 0 333 61 130 0.469 10 35
## 454 Jodie Meeks SG 31 TOR 8 0 104 21 39 0.538 8 18
## 455 Salah Mejri C 32 DAL 36 4 399 55 112 0.491 11 34
## 456 De'Anthony Melton PG 20 PHO 50 31 984 100 256 0.391 29 95
## 457 Chimezie Metu PF 21 SAS 29 0 145 19 58 0.328 0 2
## 458 Khris Middleton SF 27 MIL 77 77 2393 506 1148 0.441 179 474
## 459 CJ Miles SF 31 MEM 13 0 294 42 105 0.400 24 66
## 460 CJ Miles SF 31 TOR 40 1 562 70 206 0.340 43 137
## 461 CJ Miles SF 31 TOT 53 1 856 112 311 0.360 67 203
## 462 Darius Miller SF 28 NOP 69 15 1757 189 484 0.390 133 364
## 463 Malcolm Miller SF 25 TOR 10 0 67 11 26 0.423 10 21
## 464 Patty Mills PG 30 SAS 82 1 1908 282 663 0.425 159 404
## 465 Paul Millsap PF 33 DEN 70 65 1895 322 665 0.484 58 159
## 466 Shake Milton SG 22 PHI 20 0 268 34 87 0.391 14 44
## 467 Nikola Mirotic PF 27 MIL 14 3 320 56 135 0.415 31 87
## 468 Nikola Mirotic PF 27 NOP 32 22 925 182 407 0.447 85 231
## 469 Nikola Mirotic PF 27 TOT 46 25 1245 238 542 0.439 116 318
## 470 Donovan Mitchell SG 22 UTA 77 77 2598 661 1530 0.432 188 519
## 471 Naz Mitrou-Long SG 25 UTA 14 0 84 6 20 0.300 2 11
## 472 Malik Monk SG 20 CHO 73 0 1258 227 586 0.387 109 330
## 473 Greg Monroe C 28 BOS 2 0 5 3 5 0.600 0 0
## 474 Greg Monroe C 28 PHI 3 0 52 15 23 0.652 1 1
## 475 Greg Monroe C 28 TOR 38 2 423 74 161 0.460 0 4
## 476 Greg Monroe C 28 TOT 43 2 480 92 189 0.487 1 5
## 477 E'Twaun Moore SG 29 NOP 53 36 1463 256 532 0.481 76 176
## 478 Eric Moreland PF 27 PHO 1 0 5 0 0 NA 0 0
## 479 Eric Moreland PF 27 TOT 5 0 43 3 7 0.429 1 1
## 480 Eric Moreland PF 27 TOR 4 0 38 3 7 0.429 1 1
## 481 Jaylen Morris SG 23 MIL 4 0 29 4 10 0.400 1 3
## 482 Marcus Morris PF 29 BOS 75 53 2091 377 844 0.447 146 389
## 483 Markieff Morris PF 29 OKC 24 1 387 61 156 0.391 20 59
## 484 Markieff Morris PF 29 WAS 34 15 883 143 328 0.436 48 144
## 485 Markieff Morris PF 29 TOT 58 16 1270 204 484 0.421 68 203
## 486 Monte Morris PG 23 DEN 82 6 1970 346 702 0.493 94 227
## 487 Donatas Motiejunas PF 28 SAS 3 0 13 3 6 0.500 0 0
## 488 Johnathan Motley PF 23 LAC 22 0 156 39 73 0.534 0 3
## 489 Emmanuel Mudiay PG 22 NYK 59 42 1607 330 740 0.446 69 210
## 490 Jamal Murray PG 21 DEN 75 74 2447 513 1173 0.437 152 414
## 491 Dzanan Musa SG 19 BRK 9 0 39 9 22 0.409 1 10
## 492 Mike Muscala PF 27 LAL 17 4 265 36 83 0.434 21 57
## 493 Mike Muscala PF 27 PHI 47 6 1041 109 278 0.392 68 199
## 494 Mike Muscala PF 27 TOT 64 10 1306 145 361 0.402 89 256
## 495 Sviatoslav Mykhailiuk SF 21 DET 3 0 20 2 8 0.250 2 4
## 496 Sviatoslav Mykhailiuk SF 21 LAL 39 0 420 44 132 0.333 27 85
## 497 Sviatoslav Mykhailiuk SF 21 TOT 42 0 440 46 140 0.329 29 89
## 498 Abdel Nader SF 25 OKC 61 1 694 91 215 0.423 32 100
## 499 Larry Nance C 26 CLE 67 30 1795 249 479 0.520 33 98
## 500 Shabazz Napier PG 27 BRK 56 2 983 169 435 0.389 76 228
## 501 Raul Neto PG 26 UTA 37 1 474 74 161 0.460 20 60
## 502 Georges Niang PF 25 UTA 59 0 516 86 181 0.475 43 105
## 503 Joakim Noah C 33 MEM 42 1 693 110 213 0.516 0 1
## 504 Nerlens Noel C 24 OKC 77 2 1055 162 276 0.587 0 0
## 505 Dirk Nowitzki PF 40 DAL 51 20 795 135 376 0.359 64 205
## 506 Frank Ntilikina PG 20 NYK 43 16 904 95 282 0.337 33 115
## 507 James Nunnally SF 28 HOU 2 0 38 3 13 0.231 3 12
## 508 James Nunnally SF 28 MIN 13 0 64 9 21 0.429 5 13
## 509 James Nunnally SF 28 TOT 15 0 102 12 34 0.353 8 25
## 510 Jusuf Nurkic C 24 POR 72 72 1974 420 826 0.508 3 29
## 511 David Nwaba SG 26 CLE 51 14 984 126 262 0.481 24 75
## 512 Royce O'Neale SF 25 UTA 82 16 1671 163 343 0.475 68 176
## 513 Kyle O'Quinn C 28 IND 45 3 371 69 136 0.507 1 12
## 514 Semi Ojeleye PF 24 BOS 56 3 594 67 158 0.424 28 89
## 515 Jahlil Okafor C 23 NOP 59 24 935 212 362 0.586 1 5
## 516 Elie Okobo PG 21 PHO 53 16 958 114 290 0.393 39 132
## 517 Josh Okogie SG 20 MIN 74 52 1757 196 508 0.386 60 215
## 518 Victor Oladipo SG 26 IND 36 36 1147 249 588 0.423 74 216
## 519 Kelly Olynyk PF 27 MIA 79 36 1812 261 564 0.463 113 319
## 520 Cedi Osman SF 23 CLE 76 75 2444 360 844 0.427 130 374
## 521 Kelly Oubre SF 23 WAS 29 7 755 132 305 0.433 41 132
## 522 Kelly Oubre SF 23 PHO 40 12 1180 243 537 0.453 67 206
## 523 Kelly Oubre SF 23 TOT 69 19 1935 375 842 0.445 108 338
## 524 Zaza Pachulia C 34 DET 68 3 878 85 193 0.440 0 4
## 525 Jabari Parker PF 23 WAS 25 0 682 149 285 0.523 24 81
## 526 Jabari Parker PF 23 CHI 39 17 1042 220 464 0.474 37 114
## 527 Jabari Parker PF 23 TOT 64 17 1724 369 749 0.493 61 195
## 528 Tony Parker PG 36 CHO 56 0 1003 213 463 0.460 13 51
## 529 Chandler Parsons SF 30 MEM 25 3 496 68 182 0.374 29 94
## 530 Patrick Patterson PF 29 OKC 63 5 861 82 219 0.374 46 137
## 531 Justin Patton C 21 PHI 3 0 21 2 7 0.286 0 2
## 532 Chris Paul PG 33 HOU 58 58 1857 302 720 0.419 127 355
## 533 Cameron Payne PG 24 CLE 9 1 176 27 55 0.491 9 25
## 534 Cameron Payne PG 24 CHI 31 12 536 69 168 0.411 16 59
## 535 Cameron Payne PG 24 TOT 40 13 712 96 223 0.430 25 84
## 536 Elfrid Payton PG 24 NOP 42 42 1250 179 412 0.434 33 105
## 537 Gary Payton PG 26 WAS 3 0 16 5 8 0.625 1 2
## 538 Theo Pinson SG 23 BRK 18 0 211 25 73 0.342 12 46
## 539 Mason Plumlee C 28 DEN 82 17 1731 262 442 0.593 2 10
## 540 Miles Plumlee C 30 ATL 18 0 173 32 48 0.667 0 0
## 541 Quincy Pondexter SF 30 SAS 53 0 292 29 58 0.500 6 18
## 542 Otto Porter SF 25 CHI 15 15 492 97 201 0.483 39 80
## 543 Otto Porter SF 25 WAS 41 28 1191 202 442 0.457 65 176
## 544 Otto Porter SF 25 TOT 56 43 1683 299 643 0.465 104 256
## 545 Bobby Portis PF 23 CHI 22 6 531 122 271 0.450 27 72
## 546 Bobby Portis PF 23 WAS 28 22 768 157 357 0.440 48 119
## 547 Bobby Portis PF 23 TOT 50 28 1299 279 628 0.444 75 191
## 548 Dwight Powell C 27 DAL 77 22 1662 290 486 0.597 39 127
## 549 Norman Powell SG 25 TOR 60 3 1126 193 400 0.483 68 170
## 550 Alex Poythress PF 25 ATL 21 1 305 40 81 0.494 9 23
## 551 Jakob Poltl C 23 SAS 77 24 1273 187 290 0.645 0 0
## 552 Zhou Qi PF 23 HOU 1 0 1 1 1 1.000 0 0
## 553 Ivan Rabb PF 21 MEM 49 13 721 116 212 0.547 3 15
## 554 Chasson Randle PG 25 WAS 49 2 743 91 217 0.419 46 115
## 555 Julius Randle PF 24 NOP 73 49 2232 571 1089 0.524 67 195
## 556 JJ Redick SG 34 PHI 76 63 2379 452 1027 0.440 240 605
## 557 Davon Reed SG 23 IND 10 0 47 5 12 0.417 2 4
## 558 Cameron Reynolds SG 23 MIN 19 0 259 33 78 0.423 21 51
## 559 Josh Richardson SG 25 MIA 73 73 2539 423 1026 0.412 164 460
## 560 Malachi Richardson SG 23 TOR 22 0 103 9 29 0.310 8 25
## 561 Austin Rivers SG 26 WAS 29 2 683 76 194 0.392 33 106
## 562 Austin Rivers SG 26 HOU 47 13 1345 156 378 0.413 71 221
## 563 Austin Rivers SG 26 TOT 76 15 2028 232 572 0.406 104 327
## 564 Devin Robinson SF 23 WAS 7 0 95 19 32 0.594 0 2
## 565 Duncan Robinson PF 24 MIA 15 1 161 18 46 0.391 10 35
## 566 Glenn Robinson SF 25 DET 47 18 610 74 176 0.420 18 62
## 567 Jerome Robinson SG 21 LAC 33 0 320 44 110 0.400 18 57
## 568 Mitchell Robinson C 20 NYK 66 19 1360 202 291 0.694 0 0
## 569 Rajon Rondo PG 32 LAL 46 29 1369 175 432 0.405 51 142
## 570 Derrick Rose PG 30 MIN 51 13 1392 363 753 0.482 54 146
## 571 Terrence Ross SG 27 ORL 81 0 2150 440 1027 0.428 217 566
## 572 Terry Rozier PG 24 BOS 79 14 1791 258 666 0.387 119 337
## 573 Ricky Rubio PG 28 UTA 68 67 1899 295 730 0.404 79 254
## 574 D'Angelo Russell PG 22 BRK 81 81 2448 659 1517 0.434 234 635
## 575 Domantas Sabonis C 22 IND 74 5 1838 413 700 0.590 9 17
## 576 Brandon Sampson SG 21 CHI 14 2 214 28 60 0.467 11 29
## 577 JaKarr Sampson SF 25 CHI 4 0 127 29 54 0.537 5 14
## 578 Tomas Satoransky PG 27 WAS 80 54 2164 257 530 0.485 64 162
## 579 Dennis Schroder PG 25 OKC 79 14 2314 457 1104 0.414 124 364
## 580 Mike Scott PF 30 PHI 27 3 647 76 190 0.400 49 119
## 581 Mike Scott PF 30 LAC 52 0 748 92 230 0.400 52 133
## 582 Mike Scott PF 30 TOT 79 3 1395 168 420 0.400 101 252
## 583 Thabo Sefolosha SF 34 UTA 50 2 609 71 149 0.477 34 78
## 584 Wayne Selden SG 24 MEM 32 0 455 65 161 0.404 20 63
## 585 Wayne Selden SG 24 CHI 43 13 984 131 322 0.407 35 111
## 586 Wayne Selden SG 24 TOT 75 13 1439 196 483 0.406 55 174
## 587 Collin Sexton PG 20 CLE 82 72 2605 519 1206 0.430 119 296
## 588 Landry Shamet SG 21 LAC 25 23 694 87 210 0.414 68 151
## 589 Landry Shamet SG 21 PHI 54 4 1108 153 347 0.441 99 245
## 590 Landry Shamet SG 21 TOT 79 27 1802 240 557 0.431 167 396
## 591 Iman Shumpert SG 28 HOU 20 1 382 34 98 0.347 21 71
## 592 Iman Shumpert SG 28 SAC 42 40 1099 133 348 0.382 74 202
## 593 Iman Shumpert SG 28 TOT 62 41 1481 167 446 0.374 95 273
## 594 Pascal Siakam PF 24 TOR 80 79 2548 519 945 0.549 79 214
## 595 Jordan Sibert SG 26 ATL 1 0 4 1 1 1.000 1 1
## 596 Ben Simmons PG 22 PHI 79 79 2700 540 960 0.563 0 6
## 597 Jonathon Simmons SF 29 PHI 15 0 219 29 64 0.453 9 21
## 598 Jonathon Simmons SG 29 ORL 41 9 845 104 286 0.364 19 83
## 599 Jonathon Simmons SG-SF 29 TOT 56 9 1064 133 350 0.380 28 104
## 600 Kobi Simmons PG 21 CLE 1 0 2 0 0 NA 0 0
## 601 Anfernee Simons SG 19 POR 20 1 141 28 63 0.444 10 29
## 602 Marcus Smart SG 24 BOS 80 60 2200 239 567 0.422 126 346
## 603 Dennis Smith PG 21 NYK 21 18 600 121 293 0.413 24 83
## 604 Dennis Smith PG 21 DAL 32 32 908 157 357 0.440 43 125
## 605 Dennis Smith PG 21 TOT 53 50 1508 278 650 0.428 67 208
## 606 Ish Smith PG 30 DET 56 0 1251 205 489 0.419 44 135
## 607 JR Smith SG 33 CLE 11 4 222 27 79 0.342 12 39
## 608 Jason Smith C 32 NOP 2 0 20 2 9 0.222 2 7
## 609 Jason Smith PF 32 MIL 6 0 40 4 13 0.308 3 9
## 610 Jason Smith C 32 WAS 12 1 130 15 37 0.405 4 10
## 611 Jason Smith PF-C 32 TOT 20 1 190 21 59 0.356 9 26
## 612 Zhaire Smith SG 19 PHI 6 2 111 14 34 0.412 6 16
## 613 Tony Snell SF 27 MIL 74 12 1304 163 361 0.452 81 204
## 614 Ray Spalding PF 21 DAL 1 0 1 0 0 NA 0 0
## 615 Ray Spalding PF 21 TOT 14 3 148 25 47 0.532 0 3
## 616 Ray Spalding PF 21 PHO 13 3 147 25 47 0.532 0 3
## 617 Omari Spellman PF 21 ATL 46 11 805 98 244 0.402 44 128
## 618 Nik Stauskas SG 25 CLE 24 0 342 40 109 0.367 27 63
## 619 Nik Stauskas SG 25 POR 44 0 673 96 229 0.419 43 125
## 620 Nik Stauskas SG 25 TOT 68 0 1015 136 338 0.402 70 188
## 621 DJ Stephens SG 28 MEM 1 0 7 1 2 0.500 0 0
## 622 Lance Stephenson SG 28 LAL 68 3 1123 184 432 0.426 73 197
## 623 Edmond Sumner PG 23 IND 23 2 210 22 64 0.344 7 27
## 624 Caleb Swanigan PF 21 SAC 3 0 33 4 9 0.444 0 2
## 625 Caleb Swanigan PF 21 POR 18 0 145 14 44 0.318 1 5
## 626 Caleb Swanigan PF 21 TOT 21 0 178 18 53 0.340 1 7
## 627 Jayson Tatum SF 20 BOS 79 79 2455 466 1036 0.450 116 311
## 628 Jeff Teague PG 30 MIN 42 41 1264 176 416 0.423 35 105
## 629 Garrett Temple SG 32 LAC 26 6 510 42 106 0.396 16 54
## 630 Garrett Temple SG 32 MEM 49 49 1530 166 387 0.429 74 210
## 631 Garrett Temple SG 32 TOT 75 55 2040 208 493 0.422 90 264
## 632 Milos Teodosic PG 31 LAC 15 0 150 17 40 0.425 10 27
## 633 Jared Terrell SG 23 MIN 14 0 111 12 39 0.308 4 17
## 634 Emanuel Terry PF 22 MIA 1 0 3 0 1 0.000 0 0
## 635 Emanuel Terry PF 22 PHO 2 0 20 4 6 0.667 0 0
## 636 Emanuel Terry PF 22 TOT 3 0 23 4 7 0.571 0 0
## 637 Daniel Theis C 26 BOS 66 2 908 146 266 0.549 26 67
## 638 Isaiah Thomas SG 29 DEN 12 0 181 34 99 0.343 12 43
## 639 Khyri Thomas SG 22 DET 26 0 195 22 69 0.319 10 35
## 640 Lance Thomas PF 30 NYK 46 17 783 78 197 0.396 22 79
## 641 Klay Thompson SG 28 GSW 78 78 2652 655 1402 0.467 241 599
## 642 Tristan Thompson C 27 CLE 43 40 1198 201 380 0.529 0 0
## 643 Sindarius Thornwell SG 24 LAC 64 1 313 17 49 0.347 3 15
## 644 Anthony Tolliver PF 33 MIN 65 0 1079 99 259 0.382 81 215
## 645 Karl-Anthony Towns C 23 MIN 77 77 2545 681 1314 0.518 142 355
## 646 Gary Trent SG 20 POR 15 1 111 16 50 0.320 5 21
## 647 Allonzo Trier SG 23 NYK 64 3 1459 232 518 0.448 52 132
## 648 PJ Tucker PF 33 HOU 82 82 2802 207 523 0.396 146 387
## 649 Evan Turner PG 30 POR 73 2 1605 204 443 0.460 11 52
## 650 Myles Turner C 22 IND 74 74 2119 380 780 0.487 76 196
## 651 Ekpe Udoh C 31 UTA 51 1 320 50 72 0.694 0 0
## 652 Tyler Ulis PG 23 CHI 1 0 1 0 0 NA 0 0
## 653 Jonas Valanciunas C 26 MEM 19 17 527 152 279 0.545 5 18
## 654 Jonas Valanciunas C 26 TOR 30 10 564 149 259 0.575 9 30
## 655 Jonas Valanciunas C 26 TOT 49 27 1091 301 538 0.559 14 48
## 656 Jarred Vanderbilt PF 19 DEN 17 0 69 9 19 0.474 0 1
## 657 Fred VanVleet PG 24 TOR 64 28 1760 246 600 0.410 112 296
## 658 Noah Vonleh PF 23 NYK 68 57 1722 207 440 0.470 46 137
## 659 Nikola Vucevic C 28 ORL 80 80 2510 701 1354 0.518 84 231
## 660 Dwyane Wade SG 37 MIA 72 2 1885 416 960 0.433 86 261
## 661 Moritz Wagner C 21 LAL 43 5 446 71 171 0.415 22 77
## 662 Dion Waiters SG 27 MIA 44 28 1138 198 478 0.414 109 289
## 663 Kemba Walker PG 28 CHO 82 82 2863 731 1684 0.434 260 731
## 664 Lonnie Walker SG 20 SAS 17 0 118 16 46 0.348 5 13
## 665 John Wall PG 28 WAS 32 32 1104 245 552 0.444 51 169
## 666 Tyrone Wallace PG 24 LAC 62 0 628 92 217 0.424 4 19
## 667 Taurean Waller-Prince SF 24 ATL 55 47 1552 262 594 0.441 123 315
## 668 Brad Wanamaker PG 29 BOS 36 0 343 50 105 0.476 16 39
## 669 TJ Warren SF 25 PHO 43 36 1360 297 611 0.486 77 180
## 670 Julian Washburn SF 27 MEM 18 3 254 16 48 0.333 5 24
## 671 Yuta Watanabe SF 24 MEM 15 0 174 15 51 0.294 2 16
## 672 Thomas Welsh C 22 DEN 11 0 36 7 13 0.538 3 7
## 673 Russell Westbrook PG 30 OKC 73 73 2630 630 1473 0.428 119 411
## 674 Derrick White PG 24 SAS 67 55 1728 260 543 0.479 48 142
## 675 Okaro White PF 26 WAS 3 0 6 0 2 0.000 0 2
## 676 Hassan Whiteside C 29 MIA 72 53 1674 388 680 0.571 2 16
## 677 Andrew Wiggins SF 23 MIN 73 73 2543 498 1209 0.412 118 348
## 678 Alan Williams PF 26 BRK 5 0 26 8 13 0.615 0 1
## 679 CJ Williams SG 28 MIN 15 0 128 17 35 0.486 5 16
## 680 Johnathan Williams C 23 LAL 24 0 372 65 110 0.591 0 2
## 681 Kenrich Williams SF 24 NOP 46 29 1079 107 279 0.384 52 156
## 682 Lou Williams SG 32 LAC 75 1 1993 484 1138 0.425 105 291
## 683 Marvin Williams PF 32 CHO 75 75 2133 275 652 0.422 140 382
## 684 Robert Williams C 21 BOS 32 2 283 36 51 0.706 0 0
## 685 Troy Williams SF 24 SAC 21 0 312 44 98 0.449 14 44
## 686 DJ Wilson PF 22 MIL 48 3 882 104 251 0.414 46 127
## 687 Justise Winslow SF 22 MIA 66 52 1959 324 749 0.433 96 256
## 688 Christian Wood PF 23 MIL 13 0 62 12 25 0.480 3 5
## 689 Christian Wood PF 23 NOP 8 2 189 49 92 0.533 6 21
## 690 Christian Wood PF 23 TOT 21 2 251 61 117 0.521 9 26
## 691 Delon Wright PG 26 MEM 26 11 802 115 265 0.434 20 78
## 692 Delon Wright PG 26 TOR 49 2 897 127 293 0.433 30 90
## 693 Delon Wright PG 26 TOT 75 13 1699 242 558 0.434 50 168
## 694 Guerschon Yabusele PF 23 BOS 41 1 251 35 77 0.455 9 28
## 695 Nick Young SG 33 DEN 4 0 37 3 9 0.333 3 8
## 696 Thaddeus Young PF 30 IND 81 81 2489 443 841 0.527 51 146
## 697 Trae Young PG 20 ATL 81 81 2503 525 1256 0.418 156 482
## 698 Cody Zeller C 26 CHO 49 47 1243 190 345 0.551 6 22
## 699 Tyler Zeller C 29 ATL 2 0 11 0 2 0.000 0 1
## 700 Tyler Zeller C 29 TOT 6 1 93 16 30 0.533 0 1
## 701 Tyler Zeller C 29 MEM 4 1 82 16 28 0.571 0 0
## 702 Ivica Zubac C 21 LAC 26 25 524 100 186 0.538 0 0
## 703 Ivica Zubac C 21 LAL 33 12 516 112 193 0.580 0 0
## 704 Ivica Zubac C 21 TOT 59 37 1040 212 379 0.559 0 0
## 705 Dario Saric PF 24 PHI 13 13 396 48 132 0.364 21 70
## 706 Dario Saric PF 24 MIN 68 28 1627 256 564 0.454 97 253
## 707 Dario Saric PF 24 TOT 81 41 2023 304 696 0.437 118 323
## 708 Ante Zizic C 22 CLE 59 25 1082 183 331 0.553 0 0
## X3P. X2P X2PA X2P. eFG. FT FTA FT. ORB DRB TRB AST STL BLK TOV PF
## 1 0.323 15 30 0.500 0.487 12 13 0.923 5 43 48 20 17 6 14 53
## 2 0.133 2 3 0.667 0.278 7 10 0.700 3 22 25 8 1 4 4 24
## 3 0.338 13 36 0.361 0.459 7 9 0.778 11 49 60 65 14 5 28 45
## 4 0.000 481 807 0.596 0.595 146 292 0.500 391 369 760 124 117 76 135 204
## 5 0.200 277 471 0.588 0.579 166 226 0.735 165 432 597 184 71 65 121 203
## 6 0.261 5 13 0.385 0.389 4 4 1.000 3 16 19 5 1 4 6 13
## 7 0.000 3 6 0.500 0.300 1 2 0.500 1 3 4 6 2 0 2 4
## 8 0.238 674 1277 0.528 0.522 349 412 0.847 251 493 744 194 43 107 144 179
## 9 0.250 10 27 0.370 0.372 8 12 0.667 11 15 26 13 1 0 8 7
## 10 0.323 35 79 0.443 0.466 45 60 0.750 3 20 23 25 6 6 33 47
## 11 0.133 329 523 0.629 0.595 197 278 0.709 191 481 672 110 43 120 103 184
## 12 0.472 48 105 0.457 0.521 42 54 0.778 8 43 51 76 16 4 26 46
## 13 0.343 161 313 0.514 0.514 150 173 0.867 112 498 610 104 68 33 72 143
## 14 0.312 40 80 0.500 0.484 26 35 0.743 24 60 84 23 22 13 23 48
## 15 0.265 141 242 0.583 0.560 37 64 0.578 48 203 251 128 54 37 58 112
## 16 0.333 0 3 0.000 0.333 1 2 0.500 4 5 9 2 1 0 2 2
## 17 0.206 12 26 0.462 0.375 11 14 0.786 14 31 45 17 3 1 12 23
## 18 0.225 12 29 0.414 0.370 12 16 0.750 18 36 54 19 4 1 14 25
## 19 NA 0 3 0.000 0.000 0 0 NA 1 2 3 1 0 1 1 0
## 20 0.256 669 1044 0.641 0.599 500 686 0.729 159 739 898 424 92 110 268 232
## 21 NA 0 3 0.000 0.000 2 4 0.500 0 1 1 0 2 0 1 0
## 22 0.328 28 57 0.491 0.492 15 22 0.682 9 45 54 5 4 7 8 32
## 23 0.332 116 202 0.574 0.536 36 62 0.581 58 139 197 47 46 22 55 140
## 24 0.373 106 201 0.527 0.544 89 102 0.873 27 192 219 269 65 4 63 171
## 25 0.360 36 88 0.409 0.489 36 43 0.837 16 129 145 87 38 8 39 44
## 26 0.322 113 214 0.528 0.502 94 121 0.777 34 192 226 165 53 13 67 86
## 27 0.334 149 302 0.493 0.498 130 164 0.793 50 321 371 252 91 21 106 130
## 28 0.421 187 366 0.511 0.566 181 209 0.866 41 162 203 426 52 4 128 115
## 29 0.000 509 866 0.588 0.585 141 189 0.746 223 506 729 125 61 67 126 209
## 30 0.437 84 170 0.494 0.549 34 46 0.739 8 81 89 47 12 5 18 72
## 31 0.313 326 610 0.534 0.525 181 262 0.691 162 309 471 62 33 59 98 120
## 32 0.000 0 0 NA 0.000 0 0 NA 0 4 4 2 1 1 2 2
## 33 0.077 3 7 0.429 0.225 5 6 0.833 1 10 11 15 6 1 5 18
## 34 0.111 3 7 0.429 0.281 5 6 0.833 1 6 7 13 5 0 3 16
## 35 0.222 8 24 0.333 0.333 8 11 0.727 2 13 15 12 1 2 14 11
## 36 0.329 110 228 0.482 0.488 20 48 0.417 54 197 251 255 69 19 103 114
## 37 0.300 96 173 0.555 0.525 37 63 0.587 64 169 233 39 13 64 43 102
## 38 0.297 123 257 0.479 0.468 55 78 0.705 13 82 95 211 22 1 72 50
## 39 0.408 88 180 0.489 0.540 64 80 0.800 21 133 154 53 17 2 30 43
## 40 0.389 169 406 0.416 0.489 165 198 0.833 36 171 207 62 33 11 68 79
## 41 0.395 257 586 0.439 0.504 229 278 0.824 57 304 361 115 50 13 98 122
## 42 0.342 118 264 0.447 0.475 57 74 0.770 32 167 199 124 18 22 65 82
## 43 0.250 47 90 0.522 0.468 18 28 0.643 16 67 83 17 18 14 14 29
## 44 0.389 137 264 0.519 0.553 77 89 0.865 71 319 390 247 71 43 117 140
## 45 0.296 53 132 0.402 0.420 16 28 0.571 11 51 62 119 18 2 32 56
## 46 0.344 84 162 0.519 0.518 53 62 0.855 88 152 240 57 12 34 40 125
## 47 0.320 182 391 0.465 0.472 127 175 0.726 37 224 261 152 89 42 121 170
## 48 0.351 555 1013 0.548 0.540 362 448 0.808 89 322 411 448 121 58 224 226
## 49 0.402 186 332 0.560 0.584 56 66 0.848 35 165 200 97 55 10 55 116
## 50 0.176 72 136 0.529 0.500 28 39 0.718 13 47 60 25 9 10 27 42
## 51 0.372 138 295 0.468 0.520 112 124 0.903 16 182 198 132 35 8 72 121
## 52 0.000 99 190 0.521 0.516 25 41 0.610 55 129 184 76 20 51 42 80
## 53 0.289 225 443 0.508 0.487 87 136 0.640 54 304 358 202 105 41 142 190
## 54 0.218 66 96 0.688 0.503 32 54 0.593 34 149 183 56 18 22 37 90
## 55 0.294 2 13 0.154 0.362 0 0 NA 2 7 9 10 1 0 2 7
## 56 0.429 59 115 0.513 0.610 53 60 0.883 23 241 264 100 35 33 43 133
## 57 0.397 82 195 0.421 0.524 96 123 0.780 76 312 388 300 67 43 85 265
## 58 0.000 91 150 0.607 0.603 58 83 0.699 79 111 190 38 18 29 20 72
## 59 NA 89 156 0.571 0.571 58 91 0.637 81 166 247 33 11 41 34 103
## 60 0.401 181 336 0.539 0.566 70 92 0.761 125 319 444 147 54 56 82 197
## 61 0.396 130 305 0.426 0.465 50 76 0.658 7 99 106 42 12 9 35 41
## 62 0.329 346 594 0.582 0.548 177 236 0.750 82 280 362 430 116 29 165 156
## 63 0.256 37 67 0.552 0.491 10 13 0.769 26 72 98 13 7 8 11 20
## 64 0.360 227 491 0.462 0.496 134 162 0.827 40 203 243 267 72 15 117 142
## 65 0.425 358 665 0.538 0.575 246 305 0.807 33 300 333 161 69 1 134 138
## 66 NA 18 36 0.500 0.500 3 3 1.000 12 43 55 11 3 8 8 22
## 67 0.354 46 66 0.697 0.599 13 27 0.481 47 118 165 40 17 39 36 99
## 68 0.000 5 25 0.200 0.152 9 15 0.600 9 16 25 15 9 4 6 9
## 69 0.326 451 841 0.536 0.521 393 454 0.866 39 226 265 433 56 13 264 200
## 70 0.324 22 39 0.564 0.526 13 15 0.867 16 40 56 2 6 24 7 31
## 71 0.384 59 115 0.513 0.537 23 25 0.920 8 36 44 56 14 0 28 34
## 72 0.337 103 248 0.415 0.452 20 25 0.800 35 96 131 96 27 16 61 133
## 73 0.351 162 363 0.446 0.479 43 50 0.860 43 132 175 152 41 16 89 167
## 74 NA 8 16 0.500 0.500 1 2 0.500 9 6 15 1 2 2 3 6
## 75 0.286 16 35 0.457 0.449 9 13 0.692 4 13 17 10 12 2 8 16
## 76 0.333 23 44 0.523 0.514 22 30 0.733 22 37 59 29 20 5 11 47
## 77 0.318 39 79 0.494 0.488 31 43 0.721 26 50 76 39 32 7 19 63
## 78 0.335 137 250 0.548 0.523 95 118 0.805 56 208 264 173 129 38 70 201
## 79 0.325 172 311 0.553 0.527 58 77 0.753 67 256 323 95 55 49 50 111
## 80 0.324 44 104 0.423 0.438 15 26 0.577 5 69 74 87 11 2 31 66
## 81 0.409 19 33 0.576 0.603 15 19 0.789 8 55 63 22 6 4 16 35
## 82 0.426 274 504 0.544 0.575 141 152 0.928 65 223 288 205 46 13 91 102
## 83 0.375 34 82 0.415 0.463 22 30 0.733 9 22 31 16 10 4 19 50
## 84 0.278 61 115 0.530 0.494 23 33 0.697 12 33 45 25 9 4 21 33
## 85 0.258 101 221 0.457 0.436 45 60 0.750 48 137 185 91 40 36 46 178
## 86 0.344 273 516 0.529 0.525 133 202 0.658 65 248 313 100 69 32 99 186
## 87 0.214 17 43 0.395 0.366 3 3 1.000 5 26 31 28 12 5 16 22
## 88 0.361 92 165 0.558 0.550 29 42 0.690 29 155 184 84 25 8 46 88
## 89 0.319 75 165 0.455 0.462 32 47 0.681 35 110 145 80 21 5 30 56
## 90 0.348 201 384 0.523 0.523 87 120 0.725 25 144 169 230 37 4 88 127
## 91 0.333 276 403 0.685 0.648 107 137 0.781 113 341 454 92 25 67 60 126
## 92 0.343 29 54 0.537 0.523 17 21 0.810 2 48 50 20 16 7 11 30
## 93 0.388 68 147 0.463 0.542 56 64 0.875 20 103 123 109 24 5 54 79
## 94 0.377 97 201 0.483 0.537 73 85 0.859 22 151 173 129 40 12 65 109
## 95 0.356 62 117 0.530 0.532 41 49 0.837 13 24 37 65 12 2 20 25
## 96 0.349 118 272 0.434 0.455 62 75 0.827 15 47 62 94 21 5 29 33
## 97 0.352 180 389 0.463 0.482 103 124 0.831 28 71 99 159 33 7 49 58
## 98 0.000 9 14 0.643 0.450 4 5 0.800 2 20 22 10 8 1 4 7
## 99 0.372 31 71 0.437 0.482 33 38 0.868 2 25 27 20 6 4 15 22
## 100 0.378 91 221 0.412 0.466 79 98 0.806 26 160 186 98 25 16 46 62
## 101 0.363 131 306 0.428 0.469 116 141 0.823 30 205 235 128 39 21 65 91
## 102 0.296 25 55 0.455 0.451 8 12 0.667 4 24 28 9 6 8 9 31
## 103 0.378 57 112 0.509 0.525 48 61 0.787 16 36 52 43 24 10 14 18
## 104 0.338 294 599 0.491 0.494 264 304 0.868 105 185 290 220 99 29 81 93
## 105 0.347 351 711 0.494 0.499 312 365 0.855 121 221 342 263 123 39 95 111
## 106 0.369 48 95 0.505 0.533 42 50 0.840 42 116 158 50 14 33 38 81
## 107 0.246 31 63 0.492 0.433 9 11 0.818 11 49 60 115 16 3 35 64
## 108 0.347 174 321 0.542 0.530 137 158 0.867 48 190 238 110 73 13 65 137
## 109 0.400 0 1 0.000 0.500 0 0 NA 1 3 4 3 0 1 2 2
## 110 0.368 4 10 0.400 0.500 4 4 1.000 0 5 5 19 2 1 4 4
## 111 0.347 26 57 0.456 0.492 15 20 0.750 5 44 49 62 12 0 29 46
## 112 0.354 30 68 0.441 0.494 19 24 0.792 6 52 58 84 14 2 35 52
## 113 NA 474 732 0.648 0.648 166 261 0.636 298 550 848 96 44 102 94 168
## 114 0.342 121 265 0.457 0.487 184 242 0.760 68 281 349 85 31 10 73 114
## 115 0.333 22 83 0.265 0.395 26 32 0.813 14 52 66 69 26 11 33 55
## 116 0.389 73 152 0.480 0.550 47 66 0.712 31 163 194 87 44 27 48 141
## 117 0.188 174 339 0.513 0.493 89 112 0.795 87 220 307 78 26 58 65 152
## 118 0.158 18 43 0.419 0.363 20 27 0.741 16 41 57 49 11 9 10 21
## 119 0.368 18 42 0.429 0.467 12 26 0.462 3 10 13 21 9 6 10 27
## 120 0.263 36 85 0.424 0.415 32 53 0.604 19 51 70 70 20 15 20 48
## 121 0.480 53 123 0.431 0.514 51 64 0.797 20 47 67 77 24 9 42 54
## 122 0.349 71 118 0.602 0.581 39 58 0.672 17 98 115 26 20 9 23 35
## 123 0.500 411 739 0.556 0.557 140 254 0.551 181 497 678 194 96 51 84 227
## 124 0.667 2 5 0.400 0.625 0 0 NA 1 2 3 4 1 0 0 0
## 125 0.200 2 5 0.400 0.350 2 2 1.000 3 5 8 1 0 0 1 3
## 126 NA 8 12 0.667 0.667 10 18 0.556 7 32 39 6 2 1 7 21
## 127 0.000 53 86 0.616 0.609 41 69 0.594 85 183 268 31 19 22 35 89
## 128 0.000 61 98 0.622 0.616 51 87 0.586 92 215 307 37 21 23 42 110
## 129 0.325 10 26 0.385 0.447 5 7 0.714 4 43 47 10 3 3 7 29
## 130 0.390 45 89 0.506 0.551 13 18 0.722 44 124 168 72 22 18 39 94
## 131 0.373 55 115 0.478 0.526 18 25 0.720 48 167 215 82 25 21 46 123
## 132 NA 1 3 0.333 0.333 0 0 NA 0 0 0 1 0 0 0 1
## 133 0.400 0 3 0.000 0.375 0 0 NA 1 3 4 4 1 1 1 2
## 134 0.067 10 19 0.526 0.338 6 7 0.857 7 21 28 6 2 4 12 17
## 135 0.263 41 89 0.461 0.435 26 38 0.684 33 81 114 16 15 7 24 64
## 136 0.222 51 108 0.472 0.417 32 45 0.711 40 102 142 22 17 11 36 81
## 137 0.297 9 13 0.692 0.467 7 7 1.000 24 92 116 18 20 26 7 47
## 138 0.327 85 181 0.470 0.480 33 37 0.892 13 76 89 94 22 8 58 95
## 139 0.324 385 735 0.524 0.509 162 192 0.844 82 188 270 196 57 13 135 112
## 140 0.348 410 673 0.609 0.593 203 266 0.763 219 376 595 121 22 39 120 199
## 141 0.331 149 279 0.534 0.523 94 126 0.746 109 215 324 71 25 66 77 174
## 142 0.407 229 465 0.492 0.527 158 190 0.832 36 196 232 459 110 9 125 138
## 143 0.238 8 18 0.444 0.397 8 9 0.889 8 22 30 3 5 1 3 3
## 144 0.364 335 694 0.483 0.507 343 406 0.845 40 199 239 449 94 22 130 123
## 145 0.330 97 150 0.647 0.560 29 40 0.725 61 197 258 122 33 25 33 81
## 146 0.405 123 239 0.515 0.557 20 26 0.769 22 135 157 116 20 3 50 92
## 147 0.274 152 276 0.551 0.515 106 144 0.736 43 204 247 107 40 44 72 109
## 148 0.390 20 40 0.500 0.556 17 23 0.739 7 60 67 14 24 23 22 45
## 149 0.372 51 97 0.526 0.545 51 66 0.773 21 105 126 32 50 24 25 81
## 150 0.378 71 137 0.518 0.548 68 89 0.764 28 165 193 46 74 47 47 126
## 151 0.378 39 114 0.342 0.499 41 56 0.732 16 132 148 46 23 13 46 102
## 152 0.324 99 174 0.569 0.526 49 70 0.700 89 174 263 72 37 46 44 175
## 153 0.332 107 236 0.453 0.474 93 110 0.845 8 77 85 229 33 12 99 75
## 154 0.000 3 5 0.600 0.500 0 0 NA 1 1 2 1 1 0 1 0
## 155 0.000 5 9 0.556 0.500 5 7 0.714 5 5 10 5 1 0 0 3
## 156 0.000 8 14 0.571 0.500 5 7 0.714 6 6 12 6 2 0 1 3
## 157 0.331 145 275 0.527 0.508 142 197 0.721 60 324 384 133 64 31 85 170
## 158 0.462 45 93 0.484 0.570 14 18 0.778 48 140 188 50 27 13 22 71
## 159 0.450 99 214 0.463 0.577 44 52 0.846 27 93 120 66 36 12 61 97
## 160 0.437 278 530 0.525 0.604 263 287 0.916 45 324 369 361 92 25 192 166
## 161 0.381 39 81 0.481 0.545 18 23 0.783 13 60 73 26 26 5 27 79
## 162 0.331 482 881 0.547 0.540 344 433 0.794 174 498 672 218 88 135 112 132
## 163 0.000 15 21 0.714 0.682 6 10 0.600 10 26 36 5 3 5 3 12
## 164 0.000 186 300 0.620 0.616 100 162 0.617 216 478 694 61 35 33 64 226
## 165 NA 0 1 0.000 0.000 0 0 NA 1 0 1 0 0 0 0 0
## 166 0.382 176 309 0.570 0.571 92 113 0.814 105 375 480 90 69 71 84 214
## 167 0.385 17 35 0.486 0.510 8 10 0.800 9 24 33 9 11 0 5 13
## 168 0.286 84 159 0.528 0.505 20 36 0.556 44 71 115 37 27 7 19 34
## 169 0.306 101 194 0.521 0.506 28 46 0.609 53 95 148 46 38 7 24 47
## 170 NA 1 5 0.200 0.200 1 2 0.500 2 2 4 0 1 0 0 2
## 171 0.364 2 8 0.250 0.421 4 4 1.000 0 10 10 29 2 0 11 9
## 172 0.336 52 104 0.500 0.502 38 48 0.792 6 61 67 152 12 2 57 66
## 173 0.338 54 112 0.482 0.496 42 52 0.808 6 71 77 181 14 2 68 75
## 174 0.318 45 74 0.608 0.559 25 35 0.714 20 53 73 18 15 8 14 24
## 175 0.156 624 1268 0.492 0.483 366 441 0.830 54 408 462 475 86 36 199 177
## 176 0.500 6 13 0.462 0.636 4 5 0.800 8 5 13 1 0 1 3 9
## 177 0.250 167 267 0.625 0.622 50 67 0.746 75 257 332 33 29 33 49 113
## 178 0.167 71 141 0.504 0.467 36 59 0.610 38 59 97 17 21 10 23 77
## 179 0.339 170 321 0.530 0.527 88 106 0.830 81 230 311 72 48 41 57 134
## 180 0.335 242 458 0.528 0.517 287 356 0.806 26 140 166 311 40 17 152 187
## 181 0.265 28 41 0.683 0.492 9 12 0.750 16 49 65 31 13 6 19 38
## 182 0.327 338 672 0.503 0.497 346 485 0.713 86 477 563 429 77 25 247 137
## 183 0.256 22 50 0.440 0.416 16 26 0.615 9 34 43 17 7 1 10 20
## 184 0.366 41 82 0.500 0.526 22 35 0.629 18 52 70 39 7 1 17 33
## 185 0.333 63 132 0.477 0.489 38 61 0.623 27 86 113 56 14 2 27 53
## 186 0.368 164 356 0.461 0.506 73 98 0.745 34 228 262 135 58 10 71 135
## 187 0.250 6 13 0.462 0.429 1 2 0.500 6 11 17 5 2 0 0 2
## 188 0.348 122 269 0.454 0.479 79 101 0.782 20 91 111 174 30 5 71 81
## 189 0.132 556 1014 0.548 0.536 243 412 0.590 423 809 1232 112 136 138 175 272
## 190 0.351 48 88 0.545 0.533 32 46 0.696 34 121 155 83 36 16 43 131
## 191 0.354 181 410 0.441 0.458 55 69 0.797 19 168 187 277 68 21 104 166
## 192 0.353 584 995 0.587 0.571 448 506 0.885 33 464 497 457 58 84 225 155
## 193 1.000 1 2 0.500 0.833 0 0 NA 0 1 1 2 0 0 0 0
## 194 0.250 0 0 NA 0.375 0 0 NA 1 1 2 0 0 0 0 0
## 195 0.500 2 6 0.333 0.500 2 2 1.000 0 9 9 1 0 0 0 2
## 196 0.441 20 51 0.392 0.500 17 23 0.739 5 52 57 15 7 2 9 25
## 197 0.447 22 57 0.386 0.500 19 25 0.760 5 61 66 16 7 2 9 27
## 198 0.368 12 29 0.414 0.530 14 16 0.875 6 41 47 29 24 3 14 40
## 199 0.373 34 56 0.607 0.570 25 33 0.758 8 52 60 43 30 3 26 52
## 200 0.371 46 85 0.541 0.554 39 49 0.796 14 93 107 72 54 6 40 92
## 201 0.300 501 936 0.535 0.517 522 649 0.804 160 711 871 234 46 122 226 211
## 202 0.306 23 47 0.489 0.476 16 23 0.696 23 42 65 14 3 7 11 39
## 203 0.367 60 91 0.659 0.597 42 58 0.724 37 80 117 27 38 16 23 111
## 204 0.353 83 138 0.601 0.563 58 81 0.716 60 122 182 41 41 23 34 150
## 205 NA 15 26 0.577 0.577 11 13 0.846 6 28 34 7 2 5 8 11
## 206 0.267 14 38 0.368 0.377 0 1 0.000 6 19 25 23 5 3 11 28
## 207 0.000 0 0 NA 0.000 0 0 NA 0 0 0 0 0 0 0 0
## 208 0.000 3 11 0.273 0.214 0 0 NA 1 11 12 10 3 0 6 8
## 209 0.000 3 11 0.273 0.231 0 0 NA 1 11 12 10 3 0 6 8
## 210 0.356 180 444 0.405 0.448 115 160 0.719 33 168 201 166 58 18 118 117
## 211 0.290 83 179 0.464 0.456 68 86 0.791 16 52 68 110 14 5 52 69
## 212 0.200 24 37 0.649 0.607 10 16 0.625 15 29 44 2 2 4 6 8
## 213 0.350 124 203 0.611 0.603 54 83 0.651 82 124 206 18 15 19 27 74
## 214 0.320 148 240 0.617 0.604 64 99 0.646 97 153 250 20 17 23 33 82
## 215 0.218 346 541 0.640 0.600 154 228 0.675 207 353 560 89 56 106 84 163
## 216 0.328 35 74 0.473 0.481 12 13 0.923 4 30 34 52 10 6 14 29
## 217 0.000 95 175 0.543 0.531 50 73 0.685 79 139 218 37 11 7 33 69
## 218 0.366 79 141 0.560 0.552 37 51 0.725 33 108 141 72 40 16 47 231
## 219 0.362 99 203 0.488 0.511 60 67 0.896 13 96 109 137 36 4 40 64
## 220 0.311 149 274 0.544 0.507 73 103 0.709 138 251 389 95 69 36 74 186
## 221 0.426 185 378 0.489 0.568 69 78 0.885 18 221 239 175 45 4 80 159
## 222 0.340 315 619 0.509 0.509 137 170 0.806 38 220 258 295 71 12 154 225
## 223 0.371 419 870 0.482 0.497 303 417 0.727 43 261 304 590 133 45 227 204
## 224 0.000 7 15 0.467 0.333 1 4 0.250 3 2 5 1 1 0 1 6
## 225 0.417 18 42 0.429 0.500 9 13 0.692 9 22 31 42 5 1 16 19
## 226 0.351 61 118 0.517 0.521 32 41 0.780 32 105 137 206 25 4 60 93
## 227 0.366 79 160 0.494 0.515 41 54 0.759 41 127 168 248 30 5 76 112
## 228 0.000 8 16 0.500 0.276 6 6 1.000 1 6 7 8 3 0 5 5
## 229 0.405 11 38 0.289 0.504 11 14 0.786 4 48 52 20 6 5 13 44
## 230 0.286 61 141 0.433 0.432 21 37 0.568 26 44 70 59 17 5 25 52
## 231 0.433 248 512 0.484 0.554 367 406 0.904 54 363 417 178 49 23 99 129
## 232 0.355 93 207 0.449 0.503 81 96 0.844 49 122 171 85 37 8 24 135
## 233 0.000 11 19 0.579 0.407 4 4 1.000 0 3 3 7 1 1 2 3
## 234 0.442 64 135 0.474 0.527 40 52 0.769 24 148 172 101 24 23 36 70
## 235 0.344 227 462 0.491 0.499 152 201 0.756 56 399 455 248 60 63 119 147
## 236 0.363 291 597 0.487 0.505 192 253 0.759 80 547 627 349 84 86 155 217
## 237 0.333 0 3 0.000 0.250 1 2 0.500 0 10 10 2 0 1 2 1
## 238 0.500 36 78 0.462 0.494 27 38 0.711 22 105 127 50 5 14 14 28
## 239 0.462 36 81 0.444 0.479 28 40 0.700 22 115 137 52 5 15 16 29
## 240 0.402 302 562 0.537 0.554 120 147 0.816 63 407 470 182 54 34 114 159
## 241 0.386 415 857 0.484 0.529 453 540 0.839 105 523 628 318 170 34 205 214
## 242 0.324 293 503 0.583 0.576 134 177 0.757 172 286 458 84 53 39 73 186
## 243 0.000 175 342 0.512 0.503 58 91 0.637 66 156 222 85 31 22 73 150
## 244 0.367 290 577 0.503 0.512 156 195 0.800 57 175 232 270 96 45 141 175
## 245 NA 476 712 0.669 0.669 332 522 0.636 309 732 1041 161 66 187 130 231
## 246 0.333 4 17 0.235 0.304 9 11 0.818 1 2 3 14 0 0 3 7
## 247 0.349 349 699 0.499 0.507 185 253 0.731 129 445 574 289 57 56 162 172
## 248 0.360 168 338 0.497 0.525 119 152 0.783 17 131 148 129 41 27 90 143
## 249 NA 99 186 0.532 0.532 35 48 0.729 67 194 261 65 6 24 50 92
## 250 0.281 40 95 0.421 0.421 35 46 0.761 10 53 63 121 23 2 30 48
## 251 0.297 26 63 0.413 0.435 18 22 0.818 23 84 107 34 13 7 17 68
## 252 0.392 294 530 0.555 0.567 157 221 0.710 96 321 417 79 61 100 67 214
## 253 0.364 52 110 0.473 0.509 26 40 0.650 19 79 98 156 44 6 51 78
## 254 0.000 0 0 NA 0.000 0 0 NA 0 0 0 0 0 0 0 0
## 255 0.455 95 195 0.487 0.622 37 44 0.841 60 257 317 126 73 53 75 171
## 256 0.285 141 257 0.549 0.501 63 91 0.692 60 421 481 454 95 70 169 197
## 257 0.354 75 137 0.547 0.535 57 68 0.838 30 152 182 40 33 27 55 126
## 258 0.413 46 84 0.548 0.582 17 21 0.810 32 125 157 14 12 8 23 70
## 259 0.396 113 216 0.523 0.545 63 80 0.788 72 180 252 36 33 26 64 123
## 260 0.403 159 300 0.530 0.558 80 101 0.792 104 305 409 50 45 34 87 193
## 261 0.347 215 367 0.586 0.555 183 206 0.888 57 252 309 137 43 39 101 160
## 262 0.362 430 819 0.525 0.532 414 550 0.753 100 465 565 402 52 28 253 199
## 263 0.348 15 37 0.405 0.450 3 6 0.500 10 37 47 22 6 1 16 19
## 264 0.000 3 7 0.429 0.250 2 2 1.000 0 1 1 5 1 0 1 1
## 265 0.321 63 127 0.496 0.489 33 43 0.767 7 54 61 37 12 2 24 35
## 266 0.347 165 389 0.424 0.469 199 233 0.854 26 135 161 122 42 6 81 106
## 267 0.340 228 516 0.442 0.474 232 276 0.841 33 189 222 159 54 8 105 141
## 268 0.368 465 881 0.528 0.541 754 858 0.879 66 452 518 586 158 58 387 244
## 269 0.275 156 268 0.582 0.530 49 73 0.671 77 192 269 74 67 53 45 163
## 270 0.176 543 871 0.623 0.617 266 414 0.643 184 351 535 162 71 110 132 255
## 271 0.310 70 147 0.476 0.470 102 134 0.761 12 100 112 122 35 16 56 133
## 272 0.339 188 395 0.476 0.488 115 144 0.799 41 119 160 127 55 19 68 113
## 273 0.474 191 362 0.528 0.622 110 133 0.827 52 239 291 181 38 17 121 182
## 274 0.326 143 264 0.542 0.524 74 88 0.841 32 181 213 79 11 13 42 61
## 275 0.434 312 597 0.523 0.561 192 219 0.877 37 395 432 150 40 24 109 123
## 276 0.397 455 861 0.528 0.549 266 307 0.866 69 576 645 229 51 37 151 184
## 277 0.000 1 1 1.000 0.500 0 0 NA 0 0 0 0 0 0 0 1
## 278 0.200 1 2 0.500 0.333 1 2 0.500 2 3 5 7 0 0 2 7
## 279 0.214 9 25 0.360 0.346 16 16 1.000 4 11 15 17 4 2 10 26
## 280 0.200 11 28 0.393 0.349 17 18 0.944 6 14 20 24 4 2 12 34
## 281 0.270 160 337 0.475 0.460 82 123 0.667 33 189 222 139 89 30 60 124
## 282 0.336 97 190 0.511 0.506 55 80 0.688 35 213 248 93 64 40 58 147
## 283 0.333 18 35 0.514 0.512 11 14 0.786 21 26 47 15 7 12 13 56
## 284 0.000 11 21 0.524 0.333 3 4 0.750 3 24 27 2 0 0 3 9
## 285 0.333 219 404 0.542 0.527 156 187 0.834 51 271 322 244 62 23 105 104
## 286 0.355 20 36 0.556 0.545 6 10 0.600 16 55 71 14 7 11 12 16
## 287 0.365 72 133 0.541 0.545 66 86 0.767 64 201 265 55 27 24 37 94
## 288 0.385 138 256 0.539 0.544 100 144 0.694 117 194 311 60 16 20 58 98
## 289 0.276 149 312 0.478 0.457 87 114 0.763 28 211 239 88 57 8 88 110
## 290 NA 4 8 0.500 0.500 4 5 0.800 2 5 7 2 1 3 1 5
## 291 0.427 345 709 0.487 0.560 171 193 0.886 106 306 412 205 58 33 146 202
## 292 0.200 3 5 0.600 0.450 0 2 0.000 0 5 5 2 1 0 1 1
## 293 0.464 42 79 0.532 0.575 17 20 0.850 12 15 27 36 12 1 20 35
## 294 0.280 80 144 0.556 0.493 53 65 0.815 27 94 121 99 40 7 31 67
## 295 0.314 122 223 0.547 0.516 70 85 0.824 39 109 148 135 52 8 51 102
## 296 0.317 36 77 0.468 0.472 23 32 0.719 34 99 133 55 23 10 31 80
## 297 0.000 60 113 0.531 0.517 31 47 0.660 34 89 123 26 18 15 11 87
## 298 0.339 62 135 0.459 0.483 41 50 0.820 5 62 67 87 21 13 40 71
## 299 0.325 429 796 0.539 0.523 208 271 0.768 75 259 334 518 109 54 210 148
## 300 0.333 84 188 0.447 0.474 54 60 0.900 27 127 154 61 54 15 57 85
## 301 0.359 54 124 0.435 0.506 41 46 0.891 19 150 169 85 67 21 47 79
## 302 0.348 138 312 0.442 0.490 95 106 0.896 46 277 323 146 121 36 104 164
## 303 NA 0 0 NA NA 0 0 NA 0 0 0 0 0 0 0 0
## 304 0.184 191 438 0.436 0.420 118 183 0.645 83 227 310 96 44 27 68 107
## 305 NA 222 365 0.608 0.608 128 175 0.731 115 216 331 60 42 79 52 194
## 306 0.345 69 133 0.519 0.518 33 41 0.805 7 38 45 34 21 7 19 45
## 307 0.362 139 302 0.460 0.488 104 114 0.912 18 94 112 92 38 5 36 101
## 308 0.356 208 435 0.478 0.498 137 155 0.884 25 132 157 126 59 12 55 146
## 309 0.360 314 520 0.604 0.586 78 95 0.821 120 338 458 283 59 86 102 126
## 310 0.416 44 74 0.595 0.615 56 71 0.789 25 115 140 40 21 11 35 80
## 311 NA 43 69 0.623 0.623 29 48 0.604 24 59 83 4 7 4 16 34
## 312 0.385 139 304 0.457 0.522 41 56 0.732 60 185 245 214 65 25 109 155
## 313 0.273 3 10 0.300 0.357 0 0 NA 4 7 11 0 1 0 0 7
## 314 0.400 2 3 0.667 0.615 1 2 0.500 1 2 3 3 1 0 0 3
## 315 0.280 82 159 0.516 0.493 23 38 0.605 31 154 185 34 23 6 25 59
## 316 0.290 415 708 0.586 0.557 135 177 0.763 156 445 601 99 29 103 114 211
## 317 0.333 103 158 0.652 0.579 39 67 0.582 48 204 252 216 61 51 52 95
## 318 0.391 170 319 0.533 0.565 87 123 0.707 35 295 330 469 98 20 193 180
## 319 0.000 0 3 0.000 0.000 0 0 NA 1 1 2 0 1 0 1 0
## 320 0.330 331 635 0.521 0.518 195 289 0.675 41 226 267 154 28 31 129 149
## 321 0.401 430 807 0.533 0.557 214 245 0.873 71 264 335 464 103 34 172 167
## 322 0.323 176 345 0.510 0.499 110 135 0.815 99 312 411 80 59 98 75 143
## 323 0.367 84 195 0.431 0.465 84 103 0.816 37 147 184 73 28 22 44 123
## 324 0.363 109 221 0.493 0.514 61 74 0.824 94 208 302 52 32 20 48 172
## 325 0.333 6 9 0.667 0.600 4 4 1.000 2 1 3 5 2 0 1 4
## 326 0.314 141 278 0.507 0.493 54 73 0.740 25 109 134 69 25 2 48 92
## 327 0.359 247 447 0.553 0.549 151 197 0.766 73 199 272 64 52 82 98 220
## 328 0.324 274 616 0.445 0.456 143 213 0.671 66 281 347 183 74 56 173 209
## 329 0.372 60 104 0.577 0.568 21 29 0.724 19 47 66 28 9 1 7 32
## 330 0.346 70 136 0.515 0.517 41 50 0.820 25 121 146 68 23 13 22 67
## 331 0.355 130 240 0.542 0.537 62 79 0.785 44 168 212 96 32 14 29 99
## 332 0.369 267 576 0.464 0.504 204 236 0.864 45 171 216 344 55 9 148 208
## 333 0.339 447 768 0.582 0.560 278 418 0.665 57 408 465 454 72 33 197 94
## 334 NA 10 16 0.625 0.625 7 8 0.875 6 15 21 3 3 3 1 8
## 335 1.000 0 0 NA 1.500 0 0 NA 0 1 1 1 0 0 0 0
## 336 0.357 20 47 0.426 0.485 15 18 0.833 6 30 36 21 0 2 9 10
## 337 0.379 20 47 0.426 0.505 15 18 0.833 6 31 37 22 0 2 9 10
## 338 0.367 94 167 0.563 0.556 64 80 0.800 72 216 288 96 27 18 43 137
## 339 0.500 3 14 0.214 0.281 4 8 0.500 4 15 19 1 1 3 0 7
## 340 0.300 67 117 0.573 0.541 31 41 0.756 47 100 147 60 16 13 45 99
## 341 0.000 1 1 1.000 0.500 0 0 NA 0 0 0 0 0 0 0 1
## 342 0.500 5 10 0.500 0.594 2 2 1.000 2 6 8 0 2 0 2 3
## 343 0.429 6 11 0.545 0.583 2 2 1.000 2 6 8 0 2 0 2 4
## 344 0.336 114 230 0.496 0.499 50 70 0.714 22 154 176 135 35 27 74 114
## 345 0.324 27 57 0.474 0.478 9 13 0.692 9 33 42 28 12 1 26 22
## 346 0.282 82 168 0.488 0.454 41 51 0.804 25 150 175 60 48 13 55 92
## 347 0.288 109 225 0.484 0.459 50 64 0.781 34 183 217 88 60 14 81 114
## 348 0.321 28 69 0.406 0.440 34 39 0.872 15 37 52 54 14 6 14 25
## 349 0.353 99 197 0.503 0.516 61 88 0.693 19 102 121 112 40 21 63 72
## 350 0.346 127 266 0.477 0.498 95 127 0.748 34 139 173 166 54 27 77 97
## 351 0.231 4 14 0.286 0.325 7 10 0.700 2 16 18 7 2 5 6 18
## 352 0.380 16 38 0.421 0.506 6 9 0.667 10 44 54 16 12 7 12 45
## 353 0.329 20 52 0.385 0.449 13 19 0.684 12 60 72 23 14 12 18 63
## 354 0.307 533 936 0.569 0.545 289 352 0.821 228 637 865 580 108 55 248 228
## 355 NA 53 74 0.716 0.716 24 37 0.649 31 44 75 28 12 25 16 63
## 356 0.308 132 233 0.567 0.537 74 122 0.607 96 144 240 37 46 42 43 123
## 357 0.357 16 34 0.471 0.500 19 27 0.704 11 23 34 7 9 2 8 27
## 358 0.200 10 23 0.435 0.394 1 2 0.500 16 33 49 13 7 5 5 10
## 359 0.000 1 2 0.500 0.250 0 1 0.000 0 4 4 0 0 0 1 1
## 360 0.317 145 320 0.453 0.460 58 69 0.841 23 111 134 327 81 5 47 78
## 361 NA 78 123 0.634 0.634 51 66 0.773 64 152 216 57 9 20 42 42
## 362 NA 208 323 0.644 0.644 135 198 0.682 161 525 686 99 33 53 111 125
## 363 NA 286 446 0.641 0.641 186 264 0.705 225 677 902 156 42 73 153 167
## 364 0.322 171 377 0.454 0.463 30 43 0.698 39 240 279 321 94 22 80 131
## 365 0.360 88 159 0.553 0.547 79 107 0.738 39 124 163 63 12 12 41 68
## 366 0.250 121 203 0.596 0.584 50 68 0.735 86 112 198 32 14 9 39 61
## 367 0.318 244 446 0.547 0.544 105 129 0.814 171 290 461 84 18 17 79 106
## 368 0.294 365 649 0.562 0.556 155 197 0.787 257 402 659 116 32 26 118 167
## 369 0.394 122 251 0.486 0.540 51 61 0.836 12 171 183 114 26 10 57 92
## 370 0.340 142 285 0.498 0.500 95 123 0.772 88 158 246 61 32 39 43 156
## 371 NA 0 0 NA NA 0 0 NA 0 1 1 0 0 0 0 0
## 372 0.353 98 168 0.583 0.553 58 74 0.784 90 239 329 70 36 78 54 143
## 373 0.156 6 15 0.400 0.287 9 11 0.818 1 8 9 9 2 0 5 14
## 374 0.371 52 116 0.448 0.498 18 23 0.783 9 41 50 62 19 2 25 48
## 375 0.318 58 131 0.443 0.460 27 34 0.794 10 49 59 71 21 2 30 62
## 376 0.343 213 550 0.387 0.438 162 226 0.717 61 274 335 82 43 24 114 175
## 377 0.326 51 101 0.505 0.496 36 44 0.818 16 91 107 52 29 2 25 62
## 378 0.363 37 90 0.411 0.502 38 46 0.826 28 107 135 54 27 42 25 41
## 379 0.463 10 22 0.455 0.625 13 16 0.813 0 29 29 17 3 2 17 22
## 380 0.384 53 113 0.469 0.547 47 57 0.825 9 124 133 64 22 10 42 84
## 381 0.397 63 135 0.467 0.559 60 73 0.822 9 153 162 81 25 12 59 106
## 382 NA 73 153 0.477 0.477 10 24 0.417 52 125 177 36 15 18 27 68
## 383 0.315 144 265 0.543 0.514 72 92 0.783 56 190 246 52 41 25 77 146
## 384 0.303 368 665 0.553 0.515 188 250 0.752 60 322 382 178 41 26 133 170
## 385 1.000 11 17 0.647 0.737 3 6 0.500 5 14 19 5 3 3 4 8
## 386 0.364 9 19 0.474 0.500 6 11 0.545 4 20 24 6 2 3 7 21
## 387 0.462 20 36 0.556 0.592 9 17 0.529 9 34 43 11 5 6 11 29
## 388 0.348 316 649 0.487 0.499 231 260 0.888 65 369 434 172 88 32 80 140
## 389 0.374 410 814 0.504 0.520 312 375 0.832 40 254 294 283 60 26 215 140
## 390 0.326 157 243 0.646 0.579 50 71 0.704 56 161 217 53 31 30 46 116
## 391 0.258 91 152 0.599 0.563 19 31 0.613 43 82 125 24 9 19 12 35
## 392 0.313 16 31 0.516 0.500 9 14 0.643 6 21 27 16 8 2 5 13
## 393 0.282 21 43 0.488 0.457 5 7 0.714 3 24 27 21 13 1 9 19
## 394 0.291 37 74 0.500 0.473 14 21 0.667 9 45 54 37 21 3 14 32
## 395 0.397 29 59 0.492 0.547 19 22 0.864 8 56 64 13 13 0 11 28
## 396 0.400 36 82 0.439 0.448 8 11 0.727 4 23 27 30 11 1 10 14
## 397 0.363 246 444 0.554 0.551 140 216 0.648 158 266 424 86 27 69 97 200
## 398 0.371 448 827 0.542 0.546 364 426 0.854 78 361 439 199 106 24 121 87
## 399 0.450 82 131 0.626 0.649 43 51 0.843 49 184 233 75 13 9 43 105
## 400 0.091 65 102 0.637 0.588 23 31 0.742 27 70 97 14 12 4 23 60
## 401 0.312 159 329 0.483 0.478 85 123 0.691 35 116 151 156 42 14 69 77
## 402 0.369 444 890 0.499 0.522 468 513 0.912 68 303 371 551 88 34 212 148
## 403 0.200 47 100 0.470 0.410 34 42 0.810 6 54 60 50 9 6 26 48
## 404 0.333 136 254 0.535 0.523 142 168 0.845 16 103 119 181 38 7 98 96
## 405 0.294 183 354 0.517 0.491 176 210 0.838 22 157 179 231 47 13 124 144
## 406 0.000 109 208 0.524 0.519 40 51 0.784 42 75 117 114 31 27 38 74
## 407 0.000 0 0 NA 0.000 0 0 NA 0 0 0 0 1 0 1 0
## 408 0.100 216 337 0.641 0.627 65 105 0.619 194 223 417 123 46 53 51 211
## 409 0.365 168 274 0.613 0.571 112 133 0.842 33 363 396 98 51 179 82 189
## 410 0.226 297 504 0.589 0.575 89 123 0.724 140 146 286 89 11 78 96 124
## 411 0.361 56 136 0.412 0.479 103 114 0.904 33 206 239 48 6 5 42 54
## 412 0.347 147 286 0.514 0.518 161 194 0.830 41 271 312 564 91 31 182 166
## 413 0.500 4 10 0.400 0.556 9 11 0.818 1 8 9 6 0 0 2 5
## 414 0.000 0 0 NA 0.000 2 2 1.000 0 3 3 1 0 0 0 1
## 415 0.227 8 21 0.381 0.360 4 6 0.667 4 14 18 4 4 1 5 14
## 416 0.330 38 81 0.469 0.483 27 35 0.771 7 72 79 22 15 7 16 59
## 417 0.310 46 102 0.451 0.459 31 41 0.756 11 86 97 26 19 8 21 73
## 418 0.400 5 8 0.625 0.611 1 3 0.333 7 11 18 6 2 0 4 10
## 419 0.255 156 295 0.529 0.470 81 116 0.698 44 202 246 87 30 23 68 93
## 420 1.000 3 5 0.600 0.750 1 1 1.000 0 0 0 3 1 0 0 2
## 421 0.000 2 12 0.167 0.143 5 9 0.556 0 2 2 1 2 0 4 3
## 422 0.359 115 261 0.441 0.473 53 75 0.707 18 84 102 182 45 4 62 81
## 423 0.354 117 273 0.429 0.462 58 84 0.690 18 86 104 183 47 4 66 84
## 424 0.455 5 16 0.313 0.463 4 7 0.571 2 10 12 7 1 0 6 8
## 425 0.000 3 5 0.600 0.333 0 0 NA 0 3 3 2 0 0 0 0
## 426 0.188 44 88 0.500 0.466 42 61 0.689 48 80 128 25 25 16 21 84
## 427 0.307 27 59 0.458 0.459 36 47 0.766 24 82 106 27 11 33 24 50
## 428 0.333 33 56 0.589 0.537 20 37 0.541 17 79 96 18 10 18 9 55
## 429 0.320 60 115 0.522 0.498 56 84 0.667 41 161 202 45 21 51 33 105
## 430 0.500 71 112 0.634 0.642 26 36 0.722 32 81 113 32 5 10 22 33
## 431 0.000 85 138 0.616 0.607 72 95 0.758 55 97 152 22 11 17 37 57
## 432 0.400 156 250 0.624 0.623 98 131 0.748 87 178 265 54 16 27 59 90
## 433 0.361 222 463 0.479 0.506 170 195 0.872 74 396 470 75 37 33 85 122
## 434 0.351 23 47 0.489 0.510 9 11 0.818 11 62 73 18 3 8 11 51
## 435 0.219 57 105 0.543 0.462 39 57 0.684 6 37 43 84 16 4 36 34
## 436 0.000 1 3 0.333 0.250 0 0 NA 1 2 3 0 1 0 0 0
## 437 0.200 2 9 0.222 0.263 4 5 0.800 1 2 3 5 1 1 2 2
## 438 0.369 33 80 0.413 0.500 41 48 0.854 11 54 65 55 20 4 31 56
## 439 0.380 94 206 0.456 0.520 87 110 0.791 20 82 102 100 33 12 58 102
## 440 0.372 129 295 0.437 0.507 132 163 0.810 32 138 170 160 54 17 91 160
## 441 0.333 6 12 0.500 0.500 2 5 0.400 2 5 7 2 1 1 2 8
## 442 0.000 2 2 1.000 0.667 0 1 0.000 0 1 1 0 0 0 0 2
## 443 0.250 1 5 0.200 0.278 0 0 NA 0 3 3 2 2 0 3 1
## 444 0.333 16 30 0.533 0.519 13 15 0.867 7 38 45 27 21 2 14 37
## 445 0.321 17 35 0.486 0.484 13 15 0.867 7 41 48 29 23 2 17 38
## 446 0.375 404 798 0.506 0.527 159 192 0.828 62 220 282 207 55 28 106 172
## 447 0.333 206 377 0.546 0.542 29 37 0.784 28 146 174 258 79 17 91 105
## 448 0.408 123 216 0.569 0.590 66 79 0.835 17 92 109 67 18 8 42 104
## 449 0.083 399 629 0.634 0.625 96 152 0.632 195 371 566 52 47 148 108 208
## 450 0.351 107 236 0.453 0.489 52 72 0.722 60 178 238 112 36 12 64 115
## 451 0.356 92 157 0.586 0.564 27 48 0.563 81 166 247 31 18 15 30 134
## 452 0.415 8 23 0.348 0.523 8 12 0.667 3 14 17 4 6 3 5 22
## 453 0.286 51 95 0.537 0.508 28 35 0.800 6 34 40 30 13 7 15 26
## 454 0.444 13 21 0.619 0.641 1 1 1.000 1 11 12 8 1 1 2 5
## 455 0.324 44 78 0.564 0.540 20 32 0.625 36 95 131 35 10 26 21 55
## 456 0.305 71 161 0.441 0.447 21 28 0.750 25 109 134 159 68 23 75 113
## 457 0.000 19 56 0.339 0.328 13 17 0.765 9 27 36 13 6 2 15 14
## 458 0.378 327 674 0.485 0.519 216 258 0.837 50 411 461 331 80 7 174 172
## 459 0.364 18 39 0.462 0.514 13 14 0.929 1 26 27 14 8 5 9 17
## 460 0.314 27 69 0.391 0.444 35 44 0.795 12 56 68 22 18 10 21 62
## 461 0.330 45 108 0.417 0.468 48 58 0.828 13 82 95 36 26 15 30 79
## 462 0.365 56 120 0.467 0.528 56 71 0.789 14 114 128 146 40 23 59 165
## 463 0.476 1 5 0.200 0.615 3 4 0.750 1 4 5 1 1 1 1 5
## 464 0.394 123 259 0.475 0.545 88 103 0.854 24 158 182 245 49 10 93 129
## 465 0.365 264 506 0.522 0.528 181 249 0.727 153 352 505 141 83 54 95 183
## 466 0.318 20 43 0.465 0.471 5 7 0.714 9 26 35 18 8 8 6 29
## 467 0.356 25 48 0.521 0.530 20 23 0.870 14 61 75 20 10 9 11 21
## 468 0.368 97 176 0.551 0.552 85 101 0.842 46 218 264 35 21 25 37 86
## 469 0.365 122 224 0.545 0.546 105 124 0.847 60 279 339 55 31 34 48 107
## 470 0.362 473 1011 0.468 0.493 319 396 0.806 59 257 316 322 106 31 218 208
## 471 0.182 4 9 0.444 0.350 2 2 1.000 1 5 6 15 1 1 8 10
## 472 0.330 118 256 0.461 0.480 90 102 0.882 16 121 137 117 37 19 86 106
## 473 NA 3 5 0.600 0.600 0 0 NA 3 0 3 1 0 0 0 0
## 474 1.000 14 22 0.636 0.674 10 11 0.909 4 9 13 7 1 0 1 5
## 475 0.000 74 157 0.471 0.460 35 61 0.574 60 96 156 16 13 8 31 61
## 476 0.200 91 184 0.495 0.489 45 72 0.625 67 105 172 24 14 8 32 66
## 477 0.432 180 356 0.506 0.553 45 59 0.763 35 92 127 102 40 8 59 112
## 478 NA 0 0 NA NA 0 0 NA 0 3 3 0 0 0 0 1
## 479 1.000 2 6 0.333 0.500 0 0 NA 4 16 20 4 1 1 5 9
## 480 1.000 2 6 0.333 0.500 0 0 NA 4 13 17 4 1 1 5 8
## 481 0.333 3 7 0.429 0.450 1 2 0.500 0 5 5 4 2 0 1 1
## 482 0.375 231 455 0.508 0.533 146 173 0.844 76 382 458 109 43 25 92 181
## 483 0.339 41 97 0.423 0.455 14 19 0.737 20 71 91 19 11 2 7 58
## 484 0.333 95 184 0.516 0.509 57 73 0.781 41 133 174 60 25 20 47 117
## 485 0.335 136 281 0.484 0.492 71 92 0.772 61 204 265 79 36 22 54 175
## 486 0.414 252 475 0.531 0.560 65 81 0.802 35 159 194 297 73 4 52 102
## 487 NA 3 6 0.500 0.500 0 2 0.000 2 1 3 1 0 1 3 6
## 488 0.000 39 70 0.557 0.534 24 40 0.600 18 33 51 11 5 3 16 27
## 489 0.329 261 530 0.492 0.493 144 186 0.774 33 163 196 228 43 19 140 103
## 490 0.367 361 759 0.476 0.502 189 223 0.848 65 252 317 363 67 27 158 153
## 491 0.100 8 12 0.667 0.432 0 2 0.000 1 4 5 2 2 0 4 1
## 492 0.368 15 26 0.577 0.560 7 8 0.875 6 38 44 14 4 11 5 18
## 493 0.342 41 79 0.519 0.514 63 77 0.818 51 149 200 62 18 27 43 112
## 494 0.348 56 105 0.533 0.525 70 85 0.824 57 187 244 76 22 38 48 130
## 495 0.500 0 4 0.000 0.375 0 0 NA 1 1 2 4 1 0 1 0
## 496 0.318 17 47 0.362 0.436 12 20 0.600 8 26 34 33 13 1 20 25
## 497 0.326 17 51 0.333 0.432 12 20 0.600 9 27 36 37 14 1 21 25
## 498 0.320 59 115 0.513 0.498 27 36 0.750 14 102 116 20 20 12 26 68
## 499 0.337 216 381 0.567 0.554 96 134 0.716 168 384 552 214 100 40 97 192
## 500 0.333 93 207 0.449 0.476 115 138 0.833 18 82 100 143 41 16 66 67
## 501 0.333 54 101 0.535 0.522 28 33 0.848 6 56 62 93 14 4 35 49
## 502 0.410 43 76 0.566 0.594 20 24 0.833 11 76 87 35 10 6 23 57
## 503 0.000 110 212 0.519 0.516 78 109 0.716 58 180 238 89 20 31 50 96
## 504 NA 162 276 0.587 0.587 54 79 0.684 127 198 325 45 66 96 48 166
## 505 0.312 71 171 0.415 0.444 39 50 0.780 5 153 158 35 9 18 18 76
## 506 0.287 62 167 0.371 0.395 23 30 0.767 12 75 87 121 30 14 56 104
## 507 0.250 0 1 0.000 0.346 0 0 NA 0 1 1 2 0 0 0 6
## 508 0.385 4 8 0.500 0.548 4 4 1.000 0 4 4 5 1 0 1 4
## 509 0.320 4 9 0.444 0.471 4 4 1.000 0 5 5 7 1 0 1 10
## 510 0.103 417 797 0.523 0.510 282 365 0.773 243 505 748 233 71 103 168 250
## 511 0.320 102 187 0.545 0.527 58 85 0.682 41 122 163 54 36 17 29 106
## 512 0.386 95 167 0.569 0.574 32 42 0.762 22 263 285 124 54 24 70 172
## 513 0.083 68 124 0.548 0.511 17 21 0.810 29 90 119 56 9 25 31 68
## 514 0.315 39 69 0.565 0.513 24 39 0.615 24 62 86 23 10 4 19 43
## 515 0.200 211 357 0.591 0.587 59 89 0.663 82 196 278 40 15 40 52 96
## 516 0.295 75 158 0.475 0.460 37 47 0.787 12 86 98 127 32 7 69 109
## 517 0.279 136 293 0.464 0.445 118 162 0.728 41 177 218 91 88 33 63 166
## 518 0.343 175 372 0.470 0.486 103 141 0.730 21 181 202 186 60 11 82 72
## 519 0.354 148 245 0.604 0.563 152 185 0.822 72 303 375 140 53 37 114 183
## 520 0.348 230 470 0.489 0.504 141 181 0.779 45 312 357 195 60 11 114 195
## 521 0.311 91 173 0.526 0.500 68 85 0.800 24 105 129 20 27 20 30 71
## 522 0.325 176 331 0.532 0.515 121 159 0.761 47 149 196 64 57 39 73 110
## 523 0.320 267 504 0.530 0.510 189 244 0.775 71 254 325 84 84 59 103 181
## 524 0.000 85 189 0.450 0.440 97 124 0.782 99 166 265 91 31 17 57 151
## 525 0.296 125 204 0.613 0.565 52 76 0.684 38 142 180 68 23 16 67 58
## 526 0.325 183 350 0.523 0.514 79 108 0.731 41 200 241 84 23 14 84 87
## 527 0.313 308 554 0.556 0.533 131 184 0.712 79 342 421 152 46 30 151 145
## 528 0.255 200 412 0.485 0.474 91 124 0.734 14 69 83 207 21 7 75 53
## 529 0.309 39 88 0.443 0.453 22 25 0.880 4 66 70 43 19 5 32 45
## 530 0.336 36 82 0.439 0.479 19 30 0.633 42 105 147 31 16 13 22 46
## 531 0.000 2 5 0.400 0.286 1 2 0.500 2 4 6 3 2 0 0 5
## 532 0.358 175 365 0.479 0.508 175 203 0.862 36 229 265 473 114 18 152 146
## 533 0.360 18 30 0.600 0.573 11 16 0.688 3 16 19 23 8 3 11 15
## 534 0.271 53 109 0.486 0.458 22 25 0.880 10 43 53 83 20 6 34 49
## 535 0.298 71 139 0.511 0.487 33 41 0.805 13 59 72 106 28 9 45 64
## 536 0.314 146 307 0.476 0.475 55 74 0.743 49 171 220 320 44 17 112 81
## 537 0.500 4 6 0.667 0.688 0 0 NA 1 1 2 4 3 1 1 2
## 538 0.261 13 27 0.481 0.425 19 22 0.864 4 32 36 21 6 0 18 15
## 539 0.200 260 432 0.602 0.595 111 198 0.561 165 359 524 243 66 76 126 252
## 540 NA 32 48 0.667 0.667 16 30 0.533 16 23 39 17 6 4 10 14
## 541 0.333 23 40 0.575 0.552 34 42 0.810 8 38 46 24 11 1 13 24
## 542 0.488 58 121 0.479 0.580 29 32 0.906 14 69 83 40 18 9 25 29
## 543 0.369 137 266 0.515 0.531 49 64 0.766 40 191 231 80 64 22 40 79
## 544 0.406 195 387 0.504 0.546 78 96 0.813 54 260 314 120 82 31 65 108
## 545 0.375 95 199 0.477 0.500 39 50 0.780 46 115 161 29 11 8 29 61
## 546 0.403 109 238 0.458 0.507 38 47 0.809 63 179 242 43 24 12 45 84
## 547 0.393 204 437 0.467 0.504 77 97 0.794 109 294 403 72 35 20 74 145
## 548 0.307 251 359 0.699 0.637 196 254 0.772 140 271 411 112 44 50 67 201
## 549 0.400 125 230 0.543 0.568 62 75 0.827 16 123 139 91 39 13 65 96
## 550 0.391 31 58 0.534 0.549 18 29 0.621 29 47 76 17 4 10 13 47
## 551 NA 187 290 0.645 0.645 49 92 0.533 178 232 410 93 29 68 48 124
## 552 NA 1 1 1.000 1.000 0 0 NA 0 0 0 0 0 0 0 0
## 553 0.200 113 197 0.574 0.554 49 69 0.710 70 136 206 54 17 14 35 90
## 554 0.400 45 102 0.441 0.525 43 62 0.694 10 46 56 97 25 3 43 91
## 555 0.344 504 894 0.564 0.555 356 487 0.731 162 472 634 229 52 45 208 246
## 556 0.397 212 422 0.502 0.557 228 255 0.894 20 166 186 206 32 17 101 129
## 557 0.500 3 8 0.375 0.500 0 0 NA 2 4 6 3 1 0 1 3
## 558 0.412 12 27 0.444 0.558 8 9 0.889 4 27 31 13 6 2 5 26
## 559 0.357 259 566 0.458 0.492 199 231 0.861 54 209 263 298 79 34 113 200
## 560 0.320 1 4 0.250 0.448 4 5 0.800 2 11 13 0 1 0 8 13
## 561 0.311 43 88 0.489 0.477 25 46 0.543 10 61 71 58 18 10 36 72
## 562 0.321 85 157 0.541 0.507 25 49 0.510 15 76 91 109 29 13 32 135
## 563 0.318 128 245 0.522 0.497 50 95 0.526 25 137 162 167 47 23 68 207
## 564 0.000 19 30 0.633 0.594 9 14 0.643 6 14 20 6 4 6 2 11
## 565 0.286 8 11 0.727 0.500 4 6 0.667 2 17 19 5 5 0 4 11
## 566 0.290 56 114 0.491 0.472 32 40 0.800 17 54 71 21 14 8 18 45
## 567 0.316 26 53 0.491 0.482 6 9 0.667 3 38 41 19 11 3 13 46
## 568 NA 202 291 0.694 0.694 81 135 0.600 177 246 423 37 52 161 35 217
## 569 0.359 124 290 0.428 0.464 23 36 0.639 34 209 243 367 57 7 127 100
## 570 0.370 309 607 0.509 0.518 137 160 0.856 33 107 140 220 31 12 82 57
## 571 0.383 223 461 0.484 0.534 126 144 0.875 27 253 280 135 72 29 90 119
## 572 0.353 139 329 0.422 0.477 73 93 0.785 32 275 307 231 68 21 68 101
## 573 0.311 216 476 0.454 0.458 195 228 0.855 33 210 243 416 91 10 180 180
## 574 0.369 425 882 0.482 0.512 160 205 0.780 53 262 315 563 100 20 253 141
## 575 0.529 404 683 0.592 0.596 208 291 0.715 186 504 690 212 48 30 160 239
## 576 0.379 17 31 0.548 0.558 4 6 0.667 3 13 16 10 8 3 12 19
## 577 0.357 24 40 0.600 0.583 17 21 0.810 5 27 32 4 4 3 4 8
## 578 0.395 193 368 0.524 0.545 131 160 0.819 82 197 279 399 82 13 120 172
## 579 0.341 333 740 0.450 0.470 186 227 0.819 38 246 284 323 65 12 172 189
## 580 0.412 27 71 0.380 0.529 10 15 0.667 19 83 102 22 9 5 17 68
## 581 0.391 40 97 0.412 0.513 12 18 0.667 24 150 174 44 17 8 27 88
## 582 0.401 67 168 0.399 0.520 22 33 0.667 43 233 276 66 26 13 44 156
## 583 0.436 37 71 0.521 0.591 14 22 0.636 8 115 123 27 43 5 25 41
## 584 0.317 45 98 0.459 0.466 22 29 0.759 16 28 44 36 10 6 23 48
## 585 0.315 96 211 0.455 0.461 45 63 0.714 21 115 136 73 23 7 56 83
## 586 0.316 141 309 0.456 0.463 67 92 0.728 37 143 180 109 33 13 79 131
## 587 0.402 400 910 0.440 0.480 214 255 0.839 57 179 236 243 44 6 185 186
## 588 0.450 19 59 0.322 0.576 31 39 0.795 7 49 56 58 13 2 19 49
## 589 0.404 54 102 0.529 0.584 44 54 0.815 14 64 78 59 24 8 26 106
## 590 0.422 73 161 0.453 0.581 75 93 0.806 21 113 134 117 37 10 45 155
## 591 0.296 13 27 0.481 0.454 2 4 0.500 8 46 54 21 12 4 12 35
## 592 0.366 59 146 0.404 0.489 34 41 0.829 19 110 129 91 47 20 38 92
## 593 0.348 72 173 0.416 0.481 36 45 0.800 27 156 183 112 59 24 50 127
## 594 0.369 440 731 0.602 0.591 237 302 0.785 124 425 549 248 73 52 154 241
## 595 1.000 0 0 NA 1.500 0 0 NA 0 0 0 0 0 0 0 0
## 596 0.000 540 954 0.566 0.563 257 428 0.600 172 525 697 610 112 61 274 209
## 597 0.429 20 43 0.465 0.523 16 25 0.640 4 22 26 33 11 1 12 21
## 598 0.229 85 203 0.419 0.397 56 72 0.778 23 77 100 95 18 14 56 68
## 599 0.269 105 246 0.427 0.420 72 97 0.742 27 99 126 128 29 15 68 89
## 600 NA 0 0 NA NA 0 0 NA 0 0 0 0 0 0 0 0
## 601 0.345 18 34 0.529 0.524 9 16 0.563 3 10 13 13 1 0 11 9
## 602 0.364 113 221 0.511 0.533 104 129 0.806 57 177 234 321 143 28 123 201
## 603 0.289 97 210 0.462 0.454 42 74 0.568 14 44 58 114 27 9 54 47
## 604 0.344 114 232 0.491 0.500 57 82 0.695 18 79 97 138 40 11 100 82
## 605 0.322 211 442 0.477 0.479 99 156 0.635 32 123 155 252 67 20 154 129
## 606 0.326 161 354 0.455 0.464 47 62 0.758 23 122 145 203 28 11 61 109
## 607 0.308 15 40 0.375 0.418 8 10 0.800 0 18 18 21 11 3 11 19
## 608 0.286 0 2 0.000 0.333 2 2 1.000 2 2 4 1 0 0 1 3
## 609 0.333 1 4 0.250 0.423 2 2 1.000 3 8 11 1 2 2 5 6
## 610 0.400 11 27 0.407 0.459 10 12 0.833 11 26 37 12 1 5 7 21
## 611 0.346 12 33 0.364 0.432 14 16 0.875 16 36 52 14 3 7 13 30
## 612 0.375 8 18 0.444 0.500 6 8 0.750 3 10 13 10 2 2 6 8
## 613 0.397 82 157 0.522 0.564 37 42 0.881 29 128 157 68 26 18 23 90
## 614 NA 0 0 NA NA 0 0 NA 0 0 0 0 0 0 0 0
## 615 0.000 25 44 0.568 0.532 4 12 0.333 15 33 48 5 9 8 9 23
## 616 0.000 25 44 0.568 0.532 4 12 0.333 15 33 48 5 9 8 9 23
## 617 0.344 54 116 0.466 0.492 32 45 0.711 72 122 194 47 26 25 31 67
## 618 0.429 13 46 0.283 0.491 25 28 0.893 8 39 47 19 7 3 11 19
## 619 0.344 53 104 0.510 0.513 32 36 0.889 10 70 80 62 14 4 40 31
## 620 0.372 66 150 0.440 0.506 57 64 0.891 18 109 127 81 21 7 51 50
## 621 NA 1 2 0.500 0.500 0 0 NA 0 0 0 0 1 0 1 0
## 622 0.371 111 235 0.472 0.510 50 73 0.685 32 183 215 140 41 7 86 111
## 623 0.259 15 37 0.405 0.398 15 24 0.625 9 15 24 10 12 5 10 26
## 624 0.000 4 7 0.571 0.444 0 2 0.000 4 8 12 4 2 1 2 6
## 625 0.200 13 39 0.333 0.330 6 7 0.857 13 39 52 7 4 0 16 22
## 626 0.143 17 46 0.370 0.349 6 9 0.667 17 47 64 11 6 1 18 28
## 627 0.373 350 725 0.483 0.506 195 228 0.855 70 407 477 168 84 57 122 168
## 628 0.333 141 311 0.453 0.465 123 153 0.804 16 90 106 343 43 18 97 90
## 629 0.296 26 52 0.500 0.472 23 31 0.742 10 54 64 37 26 5 16 70
## 630 0.352 92 177 0.520 0.525 57 76 0.750 18 134 152 69 50 25 54 134
## 631 0.341 118 229 0.515 0.513 80 107 0.748 28 188 216 106 76 30 70 204
## 632 0.370 7 13 0.538 0.550 4 7 0.571 3 13 16 32 3 1 21 27
## 633 0.235 8 22 0.364 0.359 3 6 0.500 1 5 6 12 3 2 10 16
## 634 NA 0 1 0.000 0.000 1 2 0.500 1 0 1 1 0 0 0 0
## 635 NA 4 6 0.667 0.667 1 2 0.500 2 4 6 1 3 0 2 4
## 636 NA 4 7 0.571 0.571 2 4 0.500 3 4 7 2 3 0 2 4
## 637 0.388 120 199 0.603 0.598 56 76 0.737 87 138 225 68 21 42 33 161
## 638 0.279 22 56 0.393 0.404 17 27 0.630 5 8 13 23 5 1 18 17
## 639 0.286 12 34 0.353 0.391 7 11 0.636 4 16 20 8 7 5 4 22
## 640 0.278 56 118 0.475 0.452 27 36 0.750 21 96 117 27 17 7 24 83
## 641 0.402 414 803 0.516 0.553 129 158 0.816 37 262 299 186 84 47 115 157
## 642 NA 201 380 0.529 0.529 68 106 0.642 173 265 438 86 28 16 59 89
## 643 0.200 14 34 0.412 0.378 25 34 0.735 5 39 44 18 14 7 20 41
## 644 0.377 18 44 0.409 0.539 47 60 0.783 15 162 177 46 17 21 36 91
## 645 0.400 539 959 0.562 0.572 376 450 0.836 263 691 954 259 67 125 240 292
## 646 0.238 11 29 0.379 0.370 3 7 0.429 1 10 11 5 1 2 4 4
## 647 0.394 180 386 0.466 0.498 179 223 0.803 31 166 197 119 28 14 116 117
## 648 0.377 61 136 0.449 0.535 41 59 0.695 121 358 479 96 132 39 63 252
## 649 0.212 193 391 0.494 0.473 75 106 0.708 37 291 328 283 33 18 114 110
## 650 0.388 304 584 0.521 0.536 148 201 0.736 101 430 531 115 60 199 100 195
## 651 NA 50 72 0.694 0.694 19 30 0.633 27 63 90 28 10 31 13 36
## 652 NA 0 0 NA NA 0 0 NA 0 0 0 0 0 0 0 0
## 653 0.278 147 261 0.563 0.554 70 91 0.769 52 151 203 41 6 30 51 64
## 654 0.300 140 229 0.611 0.593 77 94 0.819 54 162 216 29 13 23 39 82
## 655 0.292 287 490 0.586 0.572 147 185 0.795 106 313 419 70 19 53 90 146
## 656 0.000 9 18 0.500 0.474 6 10 0.600 7 16 23 3 6 1 8 8
## 657 0.378 134 304 0.441 0.503 97 115 0.843 21 146 167 307 57 20 82 110
## 658 0.336 161 303 0.531 0.523 111 156 0.712 113 415 528 129 46 51 88 174
## 659 0.364 617 1123 0.549 0.549 179 227 0.789 224 736 960 307 81 89 159 157
## 660 0.330 330 699 0.472 0.478 165 233 0.708 69 216 285 301 59 38 166 118
## 661 0.286 49 94 0.521 0.480 43 53 0.811 17 68 85 24 11 13 39 57
## 662 0.377 89 189 0.471 0.528 22 44 0.500 7 109 116 121 29 9 64 72
## 663 0.356 471 953 0.494 0.511 380 450 0.844 52 309 361 484 102 34 211 131
## 664 0.385 11 33 0.333 0.402 8 10 0.800 0 17 17 9 7 3 4 7
## 665 0.302 194 383 0.507 0.490 122 175 0.697 15 101 116 279 49 29 121 71
## 666 0.211 88 198 0.444 0.433 30 57 0.526 20 81 101 42 21 7 36 83
## 667 0.390 139 279 0.498 0.545 95 116 0.819 22 177 199 118 53 19 100 141
## 668 0.410 34 66 0.515 0.552 24 28 0.857 3 38 41 56 12 2 19 34
## 669 0.428 220 431 0.510 0.549 101 124 0.815 31 143 174 64 51 29 52 119
## 670 0.208 11 24 0.458 0.385 3 4 0.750 8 33 41 14 13 2 7 16
## 671 0.125 13 35 0.371 0.314 7 10 0.700 4 27 31 8 4 1 6 11
## 672 0.429 4 6 0.667 0.654 1 2 0.500 0 4 4 5 0 0 1 3
## 673 0.290 511 1062 0.481 0.468 296 451 0.656 109 698 807 784 142 33 325 245
## 674 0.338 212 401 0.529 0.523 95 123 0.772 35 212 247 263 67 47 97 145
## 675 0.000 0 0 NA 0.000 0 0 NA 1 1 2 0 0 0 0 0
## 676 0.125 386 664 0.581 0.572 109 243 0.449 257 560 817 56 46 136 97 192
## 677 0.339 380 861 0.441 0.461 207 296 0.699 83 269 352 184 70 48 138 153
## 678 0.000 8 12 0.667 0.615 2 4 0.500 4 15 19 3 1 0 1 2
## 679 0.313 12 19 0.632 0.557 0 1 0.000 1 7 8 12 6 0 5 16
## 680 0.000 65 108 0.602 0.591 27 48 0.563 48 51 99 13 8 7 16 62
## 681 0.333 55 123 0.447 0.477 13 19 0.684 55 164 219 83 45 19 36 95
## 682 0.361 379 847 0.447 0.471 425 485 0.876 40 182 222 402 57 11 181 80
## 683 0.366 135 270 0.500 0.529 66 86 0.767 76 331 407 92 71 61 47 156
## 684 NA 36 51 0.706 0.706 9 15 0.600 27 54 81 7 9 40 10 36
## 685 0.318 30 54 0.556 0.520 9 15 0.600 12 47 59 11 10 8 9 37
## 686 0.362 58 124 0.468 0.506 26 47 0.553 45 177 222 52 18 20 32 85
## 687 0.375 228 493 0.462 0.497 86 137 0.628 63 292 355 282 72 19 142 177
## 688 0.600 9 20 0.450 0.540 10 15 0.667 4 16 20 2 0 0 3 3
## 689 0.286 43 71 0.606 0.565 31 41 0.756 13 50 63 6 7 10 14 14
## 690 0.346 52 91 0.571 0.560 41 56 0.732 17 66 83 8 7 10 17 17
## 691 0.256 95 187 0.508 0.472 66 89 0.742 29 112 141 138 42 15 40 50
## 692 0.333 97 203 0.478 0.485 53 61 0.869 39 86 125 110 46 15 37 53
## 693 0.298 192 390 0.492 0.478 119 150 0.793 68 198 266 248 88 30 77 103
## 694 0.321 26 49 0.531 0.513 15 22 0.682 23 30 53 15 8 7 15 32
## 695 0.375 0 1 0.000 0.500 0 0 NA 0 1 1 2 0 1 2 4
## 696 0.349 392 695 0.564 0.557 87 135 0.644 192 331 523 204 123 36 123 194
## 697 0.324 369 774 0.477 0.480 343 414 0.829 64 237 301 653 72 15 308 140
## 698 0.273 184 323 0.570 0.559 111 141 0.787 110 223 333 102 38 41 62 164
## 699 0.000 0 1 0.000 0.000 0 0 NA 2 4 6 1 0 0 0 4
## 700 0.000 16 29 0.552 0.533 14 18 0.778 11 13 24 4 1 3 4 20
## 701 NA 16 28 0.571 0.571 14 18 0.778 9 9 18 3 1 3 4 16
## 702 NA 100 186 0.538 0.538 44 60 0.733 61 139 200 38 10 24 37 64
## 703 NA 112 193 0.580 0.580 57 66 0.864 54 108 162 25 4 27 33 73
## 704 NA 212 379 0.559 0.559 101 126 0.802 115 247 362 63 14 51 70 137
## 705 0.300 27 62 0.435 0.443 27 30 0.900 21 65 86 26 4 3 25 39
## 706 0.383 159 311 0.511 0.540 105 120 0.875 105 266 371 101 41 6 72 143
## 707 0.365 186 373 0.499 0.522 132 150 0.880 126 331 457 127 45 9 97 182
## 708 NA 183 331 0.553 0.553 93 132 0.705 108 212 320 53 13 22 61 113
## PTS player_id salary
## 1 165 1 3667645
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## 190 287 158 9530000
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## 192 2027 160 30000000
## 193 5 161 77250
## 194 3 NA NA
## 195 12 163 2199311
## 196 102 163 2199311
## 197 114 163 2199311
## 198 209 164 8653076
## 199 336 164 8653076
## 200 545 164 8653076
## 201 1761 166 25467250
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## 248 1103 207 13500375
## 249 233 208 13565218
## 250 217 NA NA
## 251 184 209 1512601
## 252 1090 211 8333333
## 253 250 212 2639313
## 254 0 213 77250
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## 264 8 222 47370
## 265 294 223 17325000
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## 268 2818 224 30570000
## 269 460 NA NA
## 270 1361 226 6000000
## 271 428 230 2393887
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## 274 492 228 14800000
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## 290 12 242 77250
## 291 1695 244 3833760
## 292 9 245 77250
## 293 140 246 19000000
## 294 318 246 19000000
## 295 458 246 19000000
## 296 191 247 12763467
## 297 151 NA NA
## 298 294 250 1914480
## 299 1420 248 26641111
## 300 417 249 4500000
## 301 440 249 4500000
## 302 857 249 4500000
## 303 0 251 77250
## 304 527 252 2470356
## 305 572 253 1600520
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## 319 0 268 76236
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## 323 339 271 1378242
## 324 453 265 7000000
## 325 22 277 170107
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## 332 1260 272 17043478
## 333 1505 278 35654150
## 334 27 280 77250
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## 338 459 282 2165481
## 339 13 289 838464
## 340 201 287 2393887
## 341 2 290 142111
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## 343 23 290 142111
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## 347 454 286 3940401
## 348 144 283 19245370
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## 350 619 283 19245370
## 351 33 285 6134000
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## 353 128 285 6134000
## 354 1604 291 25467250
## 355 130 293 1544951
## 356 422 294 1512601
## 357 81 296 77250
## 358 27 297 52170
## 359 2 295 198579
## 360 468 292 2444052
## 361 207 298 22897200
## 362 551 298 22897200
## 363 758 298 22897200
## 364 537 299 7945000
## 365 405 301 3627842
## 366 301 302 19264603
## 367 614 302 19264603
## 368 915 302 19264603
## 369 613 303 3275280
## 370 427 304 13000000
## 371 0 305 77250
## 372 485 306 1378242
## 373 36 307 14631250
## 374 230 307 14631250
## 375 266 307 14631250
## 376 963 308 3744840
## 377 279 309 1740000
## 378 322 310 1619260
## 379 108 311 7560000
## 380 492 311 7560000
## 381 600 311 7560000
## 382 156 312 8739500
## 383 534 313 1690000
## 384 1308 314 1689840
## 385 31 315 1544951
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## 387 67 315 1544951
## 388 1208 316 7000000
## 389 1492 317 19500000
## 390 541 318 1544951
## 391 225 319 2407560
## 392 56 320 12253780
## 393 80 320 12253780
## 394 136 320 12253780
## 395 158 321 77250
## 396 86 NA NA
## 397 854 323 4350000
## 398 1596 324 23114066
## 399 357 325 10595506
## 400 156 326 10002681
## 401 547 327 1702800
## 402 2067 328 27977689
## 403 161 329 12516746
## 404 546 329 12516746
## 405 707 329 12516746
## 406 258 330 8307692
## 407 0 331 77250
## 408 500 333 1567007
## 409 1009 335 3382000
## 410 704 334 14357750
## 411 374 336 24119025
## 412 926 337 32700000
## 413 29 338 77250
## 414 2 339 648008
## 415 35 NA NA
## 416 196 NA NA
## 417 231 NA NA
## 418 23 341 1874640
## 419 546 342 3364249
## 420 10 343 76236
## 421 9 344 2512601
## 422 421 344 2512601
## 423 430 344 2512601
## 424 29 345 77250
## 425 6 346 77250
## 426 139 347 16000000
## 427 159 348 2799720
## 428 164 348 2799720
## 429 323 348 2799720
## 430 180 349 9490740
## 431 242 349 9490740
## 432 422 349 9490740
## 433 974 350 4536120
## 434 115 351 2416221
## 435 195 352 1378242
## 436 2 353 385000
## 437 14 354 19360228
## 438 251 354 19360228
## 439 575 354 19360228
## 440 840 354 19360228
## 441 20 NA NA
## 442 4 356 47370
## 443 5 357 964104
## 444 69 357 964104
## 445 74 357 964104
## 446 1468 358 25759766
## 447 483 359 1600520
## 448 564 360 7333334
## 449 897 361 2393887
## 450 503 362 1544951
## 451 337 363 1349383
## 452 75 364 5460000
## 453 160 365 77250
## 454 51 366 3774176
## 455 141 367 2098196
## 456 250 368 949000
## 457 51 369 838464
## 458 1407 370 13000000
## 459 121 371 8333333
## 460 218 371 8333333
## 461 339 371 8333333
## 462 567 372 2205000
## 463 35 373 457418
## 464 811 NA NA
## 465 883 375 29230769
## 466 87 376 77250
## 467 163 377 12500000
## 468 534 377 12500000
## 469 697 377 12500000
## 470 1829 378 3111480
## 471 16 NA NA
## 472 653 379 3447480
## 473 6 380 2410167
## 474 41 380 2410167
## 475 183 380 2410167
## 476 230 380 2410167
## 477 633 381 8808685
## 478 0 383 309859
## 479 7 383 309859
## 480 7 383 309859
## 481 10 387 77250
## 482 1046 385 5375000
## 483 156 384 9173294
## 484 391 384 9173294
## 485 547 384 9173294
## 486 851 386 1349383
## 487 6 388 99289
## 488 102 389 77250
## 489 873 391 4294479
## 490 1367 392 3499800
## 491 19 394 1634400
## 492 100 395 5000000
## 493 349 395 5000000
## 494 449 395 5000000
## 495 6 396 1487694
## 496 127 396 1487694
## 497 133 396 1487694
## 498 241 397 1378242
## 499 627 398 2272390
## 500 529 399 1942422
## 501 196 400 2100000
## 502 235 401 1512601
## 503 298 403 20261172
## 504 378 404 1757429
## 505 373 405 5000000
## 506 246 406 4155720
## 507 9 408 663255
## 508 27 408 663255
## 509 36 408 663255
## 510 1125 409 11111111
## 511 334 410 1512601
## 512 426 411 1378242
## 513 156 412 4449000
## 514 186 413 1378242
## 515 484 414 1567007
## 516 304 415 1238464
## 517 570 416 2163600
## 518 675 417 21000000
## 519 787 418 13537527
## 520 991 419 2775000
## 521 373 420 3208630
## 522 674 420 3208630
## 523 1047 420 3208630
## 524 267 421 2393887
## 525 374 423 20000000
## 526 556 423 20000000
## 527 930 423 20000000
## 528 530 424 5000000
## 529 187 425 24107258
## 530 229 426 5451600
## 531 5 427 2667600
## 532 906 428 35654150
## 533 74 429 3440356
## 534 176 429 3440356
## 535 250 429 3440356
## 536 446 430 3000000
## 537 11 431 85457
## 538 81 433 77250
## 539 637 434 12917808
## 540 80 435 12400000
## 541 98 437 2165481
## 542 262 438 26011913
## 543 518 438 26011913
## 544 780 438 26011913
## 545 310 440 2494346
## 546 400 440 2494346
## 547 710 440 2494346
## 548 815 442 9631250
## 549 516 443 9367200
## 550 107 444 77250
## 551 423 NA NA
## 552 2 447 1378242
## 553 284 448 1378242
## 554 271 450 975824
## 555 1565 449 8641000
## 556 1372 452 12250000
## 557 12 453 752250
## 558 95 NA NA
## 559 1209 455 9367200
## 560 30 456 1569360
## 561 210 457 13155324
## 562 408 457 13155324
## 563 618 457 13155324
## 564 47 462 77250
## 565 50 463 77250
## 566 198 459 4075000
## 567 112 460 3050160
## 568 485 461 1485440
## 569 424 464 9000000
## 570 917 465 2176260
## 571 1223 466 10500000
## 572 708 467 3050389
## 573 864 468 14800000
## 574 1712 469 7019698
## 575 1043 470 2659800
## 576 71 472 77250
## 577 80 471 85457
## 578 709 474 3129187
## 579 1224 NA NA
## 580 211 476 4320500
## 581 248 476 4320500
## 582 459 476 4320500
## 583 190 477 5250000
## 584 172 478 1544951
## 585 342 478 1544951
## 586 514 478 1544951
## 587 1371 479 4073760
## 588 273 480 1705920
## 589 449 480 1705920
## 590 722 480 1705920
## 591 91 481 11011234
## 592 374 481 11011234
## 593 465 481 11011234
## 594 1354 482 1544951
## 595 3 483 47370
## 596 1337 484 6434520
## 597 83 485 6000000
## 598 283 485 6000000
## 599 366 485 6000000
## 600 0 486 76236
## 601 75 487 1837800
## 602 708 489 11160716
## 603 308 494 3819960
## 604 414 494 3819960
## 605 722 494 3819960
## 606 501 NA NA
## 607 74 490 14720000
## 608 8 492 5450000
## 609 13 492 5450000
## 610 44 492 5450000
## 611 65 492 5450000
## 612 40 495 2615160
## 613 444 496 10607143
## 614 0 NA NA
## 615 54 NA NA
## 616 54 NA NA
## 617 272 499 1622520
## 618 132 500 2161886
## 619 267 500 2161886
## 620 399 500 2161886
## 621 2 501 77250
## 622 491 502 4449000
## 623 66 504 449794
## 624 8 505 1740000
## 625 35 505 1740000
## 626 43 505 1740000
## 627 1243 506 6700800
## 628 510 507 19000000
## 629 123 509 8000000
## 630 463 509 8000000
## 631 586 509 8000000
## 632 48 510 6300000
## 633 31 511 77250
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## 635 9 512 94740
## 636 10 512 94740
## 637 374 513 1378242
## 638 97 515 2029463
## 639 61 516 838464
## 640 205 514 7119650
## 641 1680 517 18988725
## 642 470 518 17469565
## 643 62 520 1378242
## 644 326 521 5750000
## 645 1880 522 7839435
## 646 40 523 838464
## 647 695 524 3382000
## 648 601 525 7959537
## 649 494 526 17868853
## 650 984 527 3294994
## 651 119 528 3360000
## 652 0 529 77250
## 653 379 530 16539326
## 654 384 530 16539326
## 655 763 530 16539326
## 656 24 532 838464
## 657 701 533 8653847
## 658 571 534 1621415
## 659 1665 535 12750000
## 660 1083 536 2393887
## 661 207 537 1764240
## 662 527 538 12705000
## 663 2102 539 12000000
## 664 45 540 2360160
## 665 663 541 19169800
## 666 218 542 1349383
## 667 742 NA NA
## 668 140 543 838464
## 669 772 544 11750000
## 670 40 545 77250
## 671 39 546 77250
## 672 18 547 77250
## 673 1675 548 35665000
## 674 663 549 1667160
## 675 0 550 247827
## 676 887 552 24434262
## 677 1321 553 25467250
## 678 18 562 77250
## 679 39 561 77250
## 680 157 559 127250
## 681 279 558 838464
## 682 1498 NA NA
## 683 756 554 14087500
## 684 81 557 1656600
## 685 111 560 77250
## 686 280 563 2534280
## 687 830 564 3448926
## 688 37 565 1512601
## 689 135 565 1512601
## 690 172 565 1512601
## 691 316 566 2536898
## 692 337 566 2536898
## 693 653 566 2536898
## 694 94 567 2667600
## 695 9 570 284020
## 696 1024 568 13764045
## 697 1549 569 5363280
## 698 497 572 13528090
## 699 0 573 213948
## 700 46 573 213948
## 701 46 573 213948
## 702 244 575 1544951
## 703 281 575 1544951
## 704 525 575 1544951
## 705 144 473 2526840
## 706 714 473 2526840
## 707 858 473 2526840
## 708 459 574 1952760
sum(is.na(pms))
## [1] 161
which(is.na(pms), arr.ind = TRUE)
## row col
## [1,] 303 10
## [2,] 371 10
## [3,] 478 10
## [4,] 600 10
## [5,] 614 10
## [6,] 652 10
## [7,] 19 13
## [8,] 21 13
## [9,] 59 13
## [10,] 66 13
## [11,] 74 13
## [12,] 113 13
## [13,] 126 13
## [14,] 132 13
## [15,] 165 13
## [16,] 170 13
## [17,] 205 13
## [18,] 245 13
## [19,] 249 13
## [20,] 290 13
## [21,] 303 13
## [22,] 305 13
## [23,] 311 13
## [24,] 334 13
## [25,] 355 13
## [26,] 361 13
## [27,] 362 13
## [28,] 363 13
## [29,] 371 13
## [30,] 382 13
## [31,] 473 13
## [32,] 478 13
## [33,] 487 13
## [34,] 504 13
## [35,] 540 13
## [36,] 551 13
## [37,] 552 13
## [38,] 568 13
## [39,] 600 13
## [40,] 614 13
## [41,] 621 13
## [42,] 634 13
## [43,] 635 13
## [44,] 636 13
## [45,] 642 13
## [46,] 651 13
## [47,] 652 13
## [48,] 684 13
## [49,] 701 13
## [50,] 702 13
## [51,] 703 13
## [52,] 704 13
## [53,] 708 13
## [54,] 32 16
## [55,] 194 16
## [56,] 207 16
## [57,] 254 16
## [58,] 303 16
## [59,] 335 16
## [60,] 371 16
## [61,] 407 16
## [62,] 414 16
## [63,] 478 16
## [64,] 595 16
## [65,] 600 16
## [66,] 614 16
## [67,] 652 16
## [68,] 675 16
## [69,] 303 17
## [70,] 371 17
## [71,] 478 17
## [72,] 600 17
## [73,] 614 17
## [74,] 652 17
## [75,] 19 20
## [76,] 32 20
## [77,] 55 20
## [78,] 109 20
## [79,] 124 20
## [80,] 132 20
## [81,] 133 20
## [82,] 154 20
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## [85,] 194 20
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## [89,] 254 20
## [90,] 277 20
## [91,] 303 20
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## [94,] 335 20
## [95,] 341 20
## [96,] 371 20
## [97,] 407 20
## [98,] 425 20
## [99,] 436 20
## [100,] 443 20
## [101,] 473 20
## [102,] 478 20
## [103,] 479 20
## [104,] 480 20
## [105,] 495 20
## [106,] 507 20
## [107,] 537 20
## [108,] 552 20
## [109,] 557 20
## [110,] 595 20
## [111,] 600 20
## [112,] 614 20
## [113,] 621 20
## [114,] 652 20
## [115,] 675 20
## [116,] 695 20
## [117,] 699 20
## [118,] 38 30
## [119,] 53 30
## [120,] 194 30
## [121,] 250 30
## [122,] 269 30
## [123,] 297 30
## [124,] 396 30
## [125,] 415 30
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## [128,] 441 30
## [129,] 464 30
## [130,] 471 30
## [131,] 551 30
## [132,] 558 30
## [133,] 579 30
## [134,] 606 30
## [135,] 614 30
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## [137,] 616 30
## [138,] 667 30
## [139,] 682 30
## [140,] 38 31
## [141,] 53 31
## [142,] 194 31
## [143,] 250 31
## [144,] 269 31
## [145,] 297 31
## [146,] 396 31
## [147,] 415 31
## [148,] 416 31
## [149,] 417 31
## [150,] 441 31
## [151,] 464 31
## [152,] 471 31
## [153,] 551 31
## [154,] 558 31
## [155,] 579 31
## [156,] 606 31
## [157,] 614 31
## [158,] 615 31
## [159,] 616 31
## [160,] 667 31
## [161,] 682 31
naniar::vis_miss(pms)
pms[is.na(pms)] = 0
sum(is.na(pms))
## [1] 0
pmsf <- subset(pms, select = c("player_name", "player_id","Age" ,"Tm", "GS", "Pos", "PTS","FGA","FTA", "TOV","TRB", "salary"))
## game start more than 41 games will be considered (Half of the regular season)
pmsf <- pmsf %>% filter( GS >= 41)
## calculating true shooting%
## TS. = Points/[2*(Field Goals Attempted + 0.44 * Free Throws Attempted)]
pmsf <- mutate(pmsf, TS. = PTS/(2*(FGA + 0.44* FTA)))
pmsf <- mutate(pmsf, win_score = -369 + TS. * 426.9 + TOV * -0.04355 + TRB * 0.03569 + Age * 3.73282)
duplicated(pmsf)
## [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [13] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [25] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [37] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [49] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [61] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [73] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [85] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [97] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [109] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [121] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [133] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [145] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
pmsf <- pmsf%>% distinct(player_name, .keep_all = TRUE)
pmsf %>% select(player_name, Pos, salary, win_score) %>%
arrange(desc(win_score)) %>% top_n(10)
## Selecting by win_score
## player_name Pos salary win_score
## 1 Rudy Gobert C 23491573 50.58856
## 2 DeAndre Jordan C 22897200 49.40593
## 3 JaVale McGee C 2393887 32.69070
## 4 Taj Gibson PF 14000000 28.74703
## 5 Clint Capela C 15793104 27.54803
## 6 Danny Green SG 10000000 24.63439
## 7 Danilo Gallinari SF 21587579 23.92374
## 8 Stephen Curry PG 37457154 21.61442
## 9 Al Horford C 28928710 20.51479
## 10 Kevin Durant SF 30000000 20.38839
player_labels <- if_else(pmsf$win_score >= 0, paste(pmsf$player_id), "")
pmsf %>% ggplot(aes(salary, win_score, color = Pos )) +
geom_point()+
geom_text(aes(label= player_labels), nudge_y = 6, nudge_x = 0.25)
dat_pg <- filter(pmsf, Pos == "PG")
dat_pg <- subset(dat_pg, select = c("player_name", "player_id" ,"Pos", "salary", "win_score"))
dat_pg %>% arrange(desc(win_score)) %>% top_n(10)
## Selecting by win_score
## player_name player_id Pos salary win_score
## 1 Stephen Curry 132 PG 37457154 21.614424
## 2 DJ Augustin 28 PG 7250000 11.536498
## 3 James Harden 224 PG 30570000 3.949789
## 4 Chris Paul 428 PG 35654150 -4.030314
## 5 Darren Collison 117 PG 10000000 -5.263312
## 6 Kyle Lowry 337 PG 32700000 -6.573124
## 7 Patrick Beverley 52 PG 5027028 -7.345029
## 8 Mike Conley 119 PG 30521115 -7.483797
## 9 Eric Bledsoe 59 PG 15000000 -8.566858
## 10 Damian Lillard 328 PG 27977689 -9.607731
dat_sg <- filter(pmsf, Pos == "SG")
dat_sg <- subset(dat_sg, select = c("player_name", "player_id" ,"Pos", "salary", "win_score"))
dat_sg %>% arrange(desc(win_score)) %>% top_n(10)
## Selecting by win_score
## player_name player_id Pos salary win_score
## 1 Danny Green 215 SG 10000000 24.634387
## 2 JJ Redick 452 SG 12250000 17.225017
## 3 Joe Harris 229 SG 8333333 12.408815
## 4 Malcolm Brogdon 77 SG 1544951 -3.428661
## 5 Garrett Temple 509 SG 8000000 -11.419616
## 6 Buddy Hield 244 SG 3833760 -13.207772
## 7 Klay Thompson 517 SG 18988725 -15.127103
## 8 Bryn Forbes 181 SG 3125000 -20.541323
## 9 DeMar DeRozan 145 SG 27739975 -21.352242
## 10 Eric Gordon 207 SG 13500375 -21.360775
dat_sf <- filter(pmsf, Pos == "SF")
dat_sf <- subset(dat_sf, select = c("player_name", "player_id" ,"Pos", "salary", "win_score"))
dat_sf %>% arrange(desc(win_score)) %>% top_n(10)
## Selecting by win_score
## player_name player_id Pos salary win_score
## 1 Danilo Gallinari 191 SF 21587579 23.923737412
## 2 Kevin Durant 160 SF 30000000 20.388386014
## 3 LeBron James 278 SF 35654150 17.114822999
## 4 Bojan Bogdanovic 62 SF 10500000 7.160704877
## 5 Kawhi Leonard 324 SF 23114066 0.962871973
## 6 Nicolas Batum 39 SF 24000000 -0.002232873
## 7 Paul George 197 SF 30560700 -2.108804413
## 8 Trevor Ariza 25 SF 15000000 -10.985351850
## 9 Jimmy Butler 91 SF 19841627 -11.093456911
## 10 Wesley Matthews 354 SF 19360228 -11.222775168
dat_pf <- filter(pmsf, Pos == "PF")
dat_pf <- subset(dat_pf, select = c("player_name", "player_id" ,"Pos", "salary", "win_score"))
dat_pf %>% arrange(desc(win_score)) %>% top_n(10)
## Selecting by win_score
## player_name player_id Pos salary win_score
## 1 Taj Gibson 198 PF 14000000 28.7470319
## 2 Jeff Green 217 PF 2393887 16.7420830
## 3 Giannis Antetokounmpo 20 PF 24157304 15.7646526
## 4 Paul Millsap 375 PF 29230769 11.4027009
## 5 Rudy Gay 196 PF 10087200 11.3392548
## 6 Nemanja Bjelica 57 PF 6500000 4.9385397
## 7 PJ Tucker 525 PF 7959537 2.2194325
## 8 Pascal Siakam 482 PF 1544951 1.6041736
## 9 Thaddeus Young 568 PF 13764045 -0.9554026
## 10 Joe Ingles 266 PF 12545455 -2.0834403
dat_c <- filter(pmsf, Pos == "C")
dat_c <- subset(dat_c, select = c("player_name", "player_id" ,"Pos", "salary", "win_score"))
dat_c %>% arrange(desc(win_score)) %>% top_n(10)
## Selecting by win_score
## player_name player_id Pos salary win_score
## 1 Rudy Gobert 203 C 23491573 50.588564
## 2 DeAndre Jordan 298 C 22897200 49.405932
## 3 JaVale McGee 361 C 2393887 32.690700
## 4 Clint Capela 96 C 15793104 27.548033
## 5 Al Horford 256 C 28928710 20.514790
## 6 LaMarcus Aldridge 10 C 22347015 20.171455
## 7 Derrick Favors 175 C 16900000 14.288852
## 8 Thomas Bryant 86 C 1378242 10.727755
## 9 Dewayne Dedmon 139 C 6300000 9.656709
## 10 Brook Lopez 335 C 3382000 8.568587
dat_pg_start <- dat_pg %>% arrange(desc(win_score)) %>% top_n(10)%>% slice_max(1)
dat_sg_start <- dat_sg %>% arrange(desc(win_score)) %>% top_n(10)%>% slice_max(1)
dat_sf_start <- dat_sf %>% arrange(desc(win_score)) %>% top_n(10) %>% slice_max(1)
dat_pf_start <- dat_pf %>% arrange(desc(win_score)) %>% top_n(10)%>% slice_max(1)
dat_c_start <- dat_c %>% arrange(desc(win_score)) %>% top_n(10)%>% slice_max(1)
dat_start_five <- bind_rows(dat_pg_start,dat_sg_start, dat_sf_start, dat_pf_start, dat_c_start)
tibble(dat_start_five)
## # A tibble: 5 x 5
## player_name player_id Pos salary win_score
## <chr> <dbl> <chr> <dbl> <dbl>
## 1 Stephen Curry 132 PG 37457154 21.6
## 2 Danny Green 215 SG 10000000 24.6
## 3 Danilo Gallinari 191 SF 21587579 23.9
## 4 Taj Gibson 198 PF 14000000 28.7
## 5 Rudy Gobert 203 C 23491573 50.6
exp_salary <- sum(dat_start_five$salary)
print(exp_salary)
## [1] 106536306
##check the expecting lineup salary
exp_salary <- sum(dat_start_five$salary)
if(exp_salary < 118000000)
print("Within Buget")
## [1] "Within Buget"